Statistics Theory and Methods

[1] Rerandomization Strategies for Balancing Covariates Using Pre-Experimental Longitudinal Data

Per Johansson Uppsala University and IFAU, Uppsala, Sweden; Tsinghua University, Beijing, China Mårten Schultzberg Uppsala University, Uppsala, Sweden

Statistics Theory and Methods mathscidoc:2206.33005

Journal of Computational and Graphical Statistics, 29, (4), 798-813, 2020.5
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[2] Asymptotic Inference for Optimal Rerandomization Designs

Mårten Schultzberg Uppsala University, Sweden Per Johansson Uppsala University, Sweden; Tsinghua University, China

Statistics Theory and Methods mathscidoc:2206.33004

Open Statistics, 1, (1), 49-58, 2021.1
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[3] On optimal rerandomization designs

Per Johansson Uppsala University and IFAU, Uppsala, Sweden; Tsinghua University, Beijing, China Donald B. Rubin Tsinghua University, Beijing, China Mårten Schultzberg Uppsala University, Uppsala, Sweden

Statistics Theory and Methods mathscidoc:2206.33003

Journal of the Royal Statistical Society: Series B (Statistical Methodology), 83, (2), 395-403, 2021.4
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[4] Plug-in L2-upper error bounds in deconvolution, for a mixing density estimate in Rd and for its derivatives, via the L1-error for the mixture

Yannis G. Yatracos Yau Mathematical Sciences Center, Tsinghua University, Beijing, People's Republic of China; School of Communication and Media Studies, Cyprus University of Technology, Lemesos, Cyprus

Statistics Theory and Methods mathscidoc:2206.33002

Statistics, 53, (6), 1251-1268, 2019.7
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[5] Inference in Experiments Conditional on Observed Imbalances in Covariates

Per Johansson Department of Statistics, Uppsala University, Uppsala, Sweden; IFAU, Uppsala, Sweden; Tsinghua University, Beijing, China Mattias Nordin Department of Statistics, UCFS and Urban Lab, Uppsala University, Uppsala, Sweden

Statistics Theory and Methods mathscidoc:2206.33001

The American Statistician, 00, (0), 1-11, 2022.4
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[6] On definitive screening designs using Paley’s conference matrices

Yaping Wang KLATASDS–MOE, School of Statistics, East China Normal University, Shanghai 200062, China Sixu Liu Yau Mathematical Sciences Center, Tsinghua University, Beijing 100084, China Dennis K.J. Lin Department of Statistics, Purdue University, West Lafayette, IN 47907, USA

Statistics Theory and Methods mathscidoc:2204.33001

Statistics & Probability Letters, 181, 109267, 2022.2
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[7] Edge statistics of large dimensional deformed rectangular matrices

Xiucai Ding University of California, Davis Fan Yang University of Pennsylvania

Probability Statistics Theory and Methods mathscidoc:2111.28002

2021.11
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[8] Tracy-Widom distribution for the edge eigenvalues of Gram type random matrices

Xiucai Ding University of California, Davis Fan Yang University of Pennsylvania

Probability Statistics Theory and Methods mathscidoc:2111.28001

2021.11
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[9] Limiting distribution of the sample canonical correlation coefficients of high-dimensional random vectors

Fan Yang fyang75@wharton.upenn.edu

Probability Statistics Theory and Methods mathscidoc:2110.28004

2021.10
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[10] Sample canonical correlation coefficients of high-dimensional random vectors with finite rank correlations

Zongming Ma University of Pennsylvania Fan Yang University of Pennsylvania

Probability Statistics Theory and Methods mathscidoc:2110.28003

2021.10
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[11] ComNet: Combinational Neural Network for Object Detection in UAV-Borne Thermal Images

Minglei Li Xingke Zhao Jiasong Li Liangliang Nan

Information Theory Probability Statistics Theory and Methods Machine Learning Data Analysis Statistics Theory and Methods,Data Analysis mathscidoc:2106.19001

IEEE Transactions on Geoscience and Remote Sensing, 2020.10
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[12] Estimating sparse precision matrix: optimal rates of convergence and adaptive estimation

T. TONY CAI University of Pennsylvania WEIDONG LIU Shanghai Jiao Tong University HARRISON H. ZHOU Yale University

Statistics Theory and Methods mathscidoc:2105.33003

The Annals of Statics, 2016.6
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[13] Supplementary material to “Panning for gold: Model-X knock- offs for high-dimensional controlled variable selection”

Emmanuel Candes Stanford University Yingying Fan University of Southern California, Los Angeles Lucas Janson Stanford University Jinchi Lv University of Southern California, Los Angeles

Statistics Theory and Methods mathscidoc:2105.33002

Journal of the Royal Statistical Society Series B, 80, 2018.6
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[14] Panning for gold:‘model-X’ knockoffs for high dimensional controlled variable selection

Emmanuel Candes Stanford University Yingying Fan University of Southern California, Los Angeles Lucas Janson Stanford University Jinchi Lv University of Southern California, Los Angeles

Statistics Theory and Methods mathscidoc:2105.33001

Journal of the Royal Statistical Society Series B, 80, 2018.6
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[15] On model selection from a finite family of possibly misspecified time series models

Ching-Kang Ing National Tsing Hua University HOWELL TONG University of Electronic Science & Technology HSIANG-LING HSU National University of Kaohsiung

Statistics Theory and Methods mathscidoc:2103.33002

Annals of Statistics, 47, 2019.4
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[16] Model selection for high-dimensional linear regression with dependent observations

Ching-Kang Ing National Tsing Hua University

Statistics Theory and Methods mathscidoc:2103.33001

Annals of Statistics, 48, 2020.9
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[17] Rate-optimal perturbation bounds for singular subspaces with applications to high-dimensional statistics

T. Tony Cai University of Pennsylvania Anru Zhang University of Wisconsin-Madison

Statistics Theory and Methods mathscidoc:2008.33001

The Annals of Statistics, 46, 2018
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[18] Asymptotics For High Dimensional Regression M-Estimates: Fixed Design Results

Lihua Lei Stanford University Peter J. Bickel University of California, Berkeley Noureddine El Karoui University of California, Berkeley

Statistics Theory and Methods mathscidoc:2005.33003

Probability Theory and Related Fields, 172, 983–1079, 2018.12
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[19] Solving Random Quadratic Systems of Equations Is Nearly as Easy as Solving Linear Systems

Yuxin Chen Princeton University Emmanuel Candes Stanford University

Statistics Theory and Methods mathscidoc:2005.33002

Gold Award Paper in 2020

Communications on Pure and Applied Mathematics, 70, (5), 822- 883, 2017.5
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[20] Fast community detection by SCORE

Jiashun Jin Carnegie Mellon University

Statistics Theory and Methods mathscidoc:2005.33001

Distinguished Paper Award in 2020

Annals of Statistics , 43, (1), 57-89, 2015.2
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[21] G-sup: a clustering algorithm for cryo-electron microscopy images of asymmetric particles

Ting-Li Chen Institute of Statistical Science, Academia Sinica Dai-Ni Hsieh Institute of Statistical Science, Academia Sinica Hung Hung Institute of Epidemiology and Preventive Medicine I-Ping Tu Institute of Statistical Science, Academia Sinica Pei-Shien Wu Dept. of Biostatistics, Duke University Yi-Ming Wu Institute of Chemistry, Academia Sinica Wei-Hau Chang Institute of Chemistry, Academia Sinica Su-Yun Huang Institute of Statistical Science, Academia Sinica

Statistics Theory and Methods Data Analysis, Bio-Statistics, Bio-Mathematics mathscidoc:2004.33002

The Annals of Applied Statistics , 8, (1), 259-285, 2014
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[22] The Bivariate Lack-of-Memory Distributions

Gwo Dong Lin Academia Sinica Xiaoling Dou Waseda University Satoshi Kuriki The Institute of Statistical Mathematics

Statistics Theory and Methods mathscidoc:2004.33001

Sankhya A, 81, (2), 273-297, 2019.12
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[23] Propagation of singularities in the solutions to the Boltzmann equation near equilibrium

Renjun Duan Meng-Rong Li Tong Yang

Statistics Theory and Methods mathscidoc:1912.43958

Mathematical Models and Methods in Applied Sciences, 18, (7), 1093-1114, 2008.7
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[24] Diffusion in a continuum model of self-propelled particles with alignment interaction

Pierre Degond Tong Yang

Statistics Theory and Methods mathscidoc:1912.43945

Mathematical Models and Methods in Applied Sciences, 20, 1459-1490, 2010.9
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[25] Lecture 3: Fourth Order BSS Method

Jack Xin

Statistics Theory and Methods mathscidoc:1912.43924

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[26] Gaussian Fluctuation for the Number of Particles in Airy, Bessel, Sine, and Other Determinantal Random Point Fields Alexander B. Soshnikov Limiting Distributions for a

Jinho Baik Eric M Rains Francois Castella Laszlo Erdos Florian Frommlet Peter A Markowich Christian Dogbe AJ van Wonderen K Lendi Emanuele Caglioti Carlo Marchioro Gregory L Eyink Jack Xin J Bricmont A Kupiainen R Lefevere David Ruelle

Statistics Theory and Methods mathscidoc:1912.43923

Journal of Statistical Physics, 100
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[27] Convergence analysis of a randomly perturbed infomax algorithm for blind source separation

Qi He Jack Xin

Statistics Theory and Methods mathscidoc:1912.43920

Communications in Information and Systems, 12, (4), 251-275, 2012
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[28] Enhanced diffusivity in perturbed senile reinforced random walk models

Thu Dinh Jack Xin

Statistics Theory and Methods mathscidoc:1912.43915

arXiv preprint arXiv:1807.03744, 2018.7
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[29] Statistical analysis of a semilinear hyperbolic system advected by a white in time random velocity field

Gregory Eyink Jack Xin

Statistics Theory and Methods mathscidoc:1912.43903

Nonlinearity, 15, (3), 551, 2002.3
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[30] Residual diffusivity in elephant random walk models with stops

Jiancheng Lyu Jack Xin Yifeng Yu

Statistics Theory and Methods mathscidoc:1912.43899

arXiv preprint arXiv:1705.02711, 2017.5
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[31] Nonlinearly constrained MRFs: exploring the intrinsic dimensions of higher-order cliques

Yun Zeng Chaohui Wang Stefano Soatto Shing-Tung Yau

Statistics Theory and Methods mathscidoc:1912.43695

1706-1713, 2013
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[32] Evolutionary dynamics on any population structure

Benjamin Allen Gabor Lippner Yu-Ting Chen Babak Fotouhi Naghmeh Momeni Shing-Tung Yau Martin A Nowak

Statistics Theory and Methods mathscidoc:1912.43500

Nature, 544, (7649), 227, 2017.4
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[33] Multi-Agent Inference in Social Networks: A Finite Population Approach

Jianqing Fan Xin Tong Yao Zeng

Statistics Theory and Methods mathscidoc:1912.43447

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[34] Journal of the Korean Statistical Society

Byeong U Park Peter Hall Qiwei Yao Hee-Seok Oh Wicher Bergsma Ji Hwan Cha Ming-Yen Cheng Aurore Delaigle Jianqing Fan Martin Hazelton Jiashun Jin MC Jones Mikyoung Jun Choongrak Kim Sung-Ho Kim Tae Yoon Kim Yongdai Kim Yoontae Kim Inge Koch Jens-Peter Kreiss Tatsuya Kubokawa Eui Yong Lee Jaewon Lee Oesook Lee Sangyeol Lee Johan Lim Yoshihiko Maesono Rahul Mukerjee Jeong Soo Park Sang-Gue Park Liang Peng Dong Wan Shin Juwon Song Soo Hak Sung Berwin Turlach Yazhen Wang Kyusang Yu

Statistics Theory and Methods mathscidoc:1912.43446

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[35] When Everyone Misses on the Same Side: Robust Measures of Earnings Surprises and Stock Returns

Chin-Han Chiang Wei Dai Jianqing Fan Harrison Hong Jun Tu

Statistics Theory and Methods mathscidoc:1912.43445

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[36] Correcting In-Sample Optimism Bias: Realized Volatility of Large Optimal Portfolios

Jianqing Fan Alex Furger Dacheng Xiu

Statistics Theory and Methods mathscidoc:1912.43444

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[37] Multiple testing via fdr for large scale imaging data

Chunming Zhang Jianqing Fan Tao Yu

Statistics Theory and Methods mathscidoc:1912.43443

2011
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[38] Deconvolution Problems in Time Series

Young K Truong Jianqing Fan

Statistics Theory and Methods mathscidoc:1912.43442

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[39] A Projection-based Conditional Dependence Measure with Applications to High-dimensional Undirected Graphical Models

Jianqing Fan Yang Feng Lucy Xia

Statistics Theory and Methods mathscidoc:1912.43441

arXiv, 2020
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[40] Correction to strong oracle optimality of folded concave penalized estimation

Jianqing Fan Lingzhou Xue Hui Zou

Statistics Theory and Methods mathscidoc:1912.43440

The Annals of Statistics, 43, (2), 935-935, 2015.4
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[41] Tensor Methods for Additive Index Models under Discordance and Heterogeneity

Krishnakumar Balasubramanian Jianqing Fan Zhuoran Yang

Statistics Theory and Methods mathscidoc:1912.43439

arXiv preprint arXiv:1807.06693, 2018.7
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[42] Structured volatility matrix estimation for non-synchronized high-frequency financial data

Jianqing Fan Donggyu Kim

Statistics Theory and Methods mathscidoc:1912.43438

Journal of Econometrics, 209, (1), 61-78, 2019.3
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[43] Adaptive Huber Regression on Markov-dependent Data

Jianqing Fan Yongyi Guo Bai Jiang

Statistics Theory and Methods mathscidoc:1912.43437

arXiv preprint arXiv:1904.09027, 2019.4
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[44] New inference concepts for analysing complex data

Jianqing Fan Klaus-Robert Mller Vladimir Spokoiny

Statistics Theory and Methods mathscidoc:1912.43436

Mathematisches Forschungsinstitut Oberwolfach, 52, 2005.9
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[45] Asset allocation with gross exposure constraints for vast portfolios

Jianqing Fan Jingjin Zhang Ke Yu

Statistics Theory and Methods mathscidoc:1912.43435

Unpublished paper: Bendheim Center for Finance, Princeton University
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[46] Large panel test of factor pricing models

Jianqing Fan Yuan Liao Jiawei Yao

Statistics Theory and Methods mathscidoc:1912.43434

2013.4
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[47] The Leverage Effect Puzzle: Disentangling Sources of Bias at High Frequency. February 5, 2013

Yacine Ait-Sahalia Jianqing Fan Yingying Li

Statistics Theory and Methods mathscidoc:1912.43433

Princeton University, USA and Hong Kong University of Science and Technology, HKSAR Extent and terms of a thesis are specified in directions for its elaboration that are opened to the public on the web sites of the faculty
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[48] Sparsistency and rates of convergence in large covariance matrices estimation, 2007

Clifford Lam Jianqing Fan

Statistics Theory and Methods mathscidoc:1912.43432

arXiv preprint arXiv:0711.3933, 2009
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[49] Optimal bandwidth selection for local linear regression

Li-Shan Huang Jianqing Fan

Statistics Theory and Methods mathscidoc:1912.43431

1996.9
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[50] Generalized likelihood ratio tests for spectral density

Jianqing Fan Wenyang Zhang

Statistics Theory and Methods mathscidoc:1912.43430

2002
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[51] Regularity properties of high-dimensional covariate matrices

Edgar Dobriban Jianqing Fan

Statistics Theory and Methods mathscidoc:1912.43428

arXiv preprint arXiv:1305.5198, 2013.5
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[52] When everyone misses on the same side: Debiased earnings surprises and stock returns

Chin-Han Chiang Wei Dai Jianqing Fan Harrison Hong Jun Tu

Statistics Theory and Methods mathscidoc:1912.43427

2015
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[53] Structured correlation detection with application to colocalization analysis in dual-channel fluorescence microscopic imaging

Shulei Wang Jianqing Fan Ginger Pocock Ming Yuan

Statistics Theory and Methods mathscidoc:1912.43426

arXiv preprint arXiv:1604.02158, 2016.4
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[54] Robust inference of risks of large portfolios

Jianqing Fan Fang Han Han Liu Byron Vickers

Statistics Theory and Methods mathscidoc:1912.43425

Journal of econometrics, 194, (2), 298-308, 2016.10
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[55] Factor GARCH-It models for high-frequency data with application to large volatility matrix prediction

Donggyu Kim Jianqing Fan

Statistics Theory and Methods mathscidoc:1912.43424

Journal of econometrics, 208, (2), 395-417, 2019.2
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[56] Estimating Measures of Sensitivity of Initial Values to Nonlinear Stochastic Systems with Chaos

Jianqing Fan Qiwei Yao Howell Tong

Statistics Theory and Methods mathscidoc:1912.43423

1993
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[57] Semiparametric estimation of value-at-risk

Jianqing Fan Juan Gu

Statistics Theory and Methods mathscidoc:1912.43422

2003
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[58] Large dimensional covariance matrix estimation using a factor model

Jianqing Fan Yingying Fan Jinchi Lv

Statistics Theory and Methods mathscidoc:1912.43421

2008
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[59] Assessing prediction error of nonparametric regression and classification under Bregman divergence

Jianqing Fan Chunming Zhang

Statistics Theory and Methods mathscidoc:1912.43420

arXiv preprint math/0506028, 2005.6
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[60] Testability of high-dimensional linear models with non-sparse structures

Jelena Bradic Jianqing Fan Yinchu Zhu

Statistics Theory and Methods mathscidoc:1912.43418

arXiv preprint arXiv:1802.09117, 2018.2
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[61] Minimax estimation of a bounded squared mean

Jianqing Fan Irne Gijbels

Statistics Theory and Methods mathscidoc:1912.43416

Statistics & Probability Letters, 13, (5), 383-390
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[62] Variable selection via penalized likelihood

Jianqing Fan Runze Li

Statistics Theory and Methods mathscidoc:1912.43415

Journal of American Statistical Association
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[63] Multi-agent inference in social networks: a finite population learning approach

Jianqing Fan Xin Tong Yao Zeng

Statistics Theory and Methods mathscidoc:1912.43414

Journal of the American Statistical Association, 110, (509), 149-158, 2015.1
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[64] Regularity properties for sparse regression

Edgar Dobriban Jianqing Fan

Statistics Theory and Methods mathscidoc:1912.43413

Communications in mathematics and statistics, 4, (1), 1-19, 2016.3
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[65] Heterogeneity adjustment with applications to graphical model inference

Jianqing Fan Han Liu Weichen Wang Ziwei Zhu

Statistics Theory and Methods mathscidoc:1912.43412

Electronic Journal of Statistics, 12, (2), 3908-3952, 2018
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[66] Optimal subspace estimation using overidentifying vectors via generalized method of moments

Jianqing Fan Yiqiao Zhong

Statistics Theory and Methods mathscidoc:1912.43411

arXiv preprint arXiv:1805.02826, 2018.5
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[67] Bernstein's inequality for general Markov chains

Bai Jiang Qiang Sun Jianqing Fan

Statistics Theory and Methods mathscidoc:1912.43410

arXiv preprint arXiv:1805.10721, 2018.5
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[68] Optimal global rates of convergence for nonparametric deconvolution problem

Jianqing Fan

Statistics Theory and Methods mathscidoc:1912.43409

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[69] Data-driven bandwidth selection in local polynomial fitting: variable bandwidth and spatial adaptation [J]

Jianqing Fan I Gijbels

Statistics Theory and Methods mathscidoc:1912.43408

J. Roy. Statist. Soc. Ser. B, 57, (2), 371-394, 1995
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[70] Data-analytic approaches to the estimation of value-at-risk

Jianqing Fan Juan Gu

Statistics Theory and Methods mathscidoc:1912.43407

271-277, 2003.3
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[71] Error variance estimation in ultrahigh-dimensional additive models

Zhao Chen Jianqing Fan Runze Li

Statistics Theory and Methods mathscidoc:1912.43406

Journal of the American Statistical Association, 113, (521), 315-327, 2018.1
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[72] Factor-adjusted regularized model selection

Jianqing Fan Yuan Ke Kaizheng Wang

Statistics Theory and Methods mathscidoc:1912.43405

Available at SSRN 3248047, 2020.9
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[73] FARM-Test: Factoradjusted robust multiple testing with false discovery control

Jianqing Fan Yuan Ke Qiang Sun Wen-Xin Zhou

Statistics Theory and Methods mathscidoc:1912.43400

arXiv preprint arXiv:1711.05386, 2017.11
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[74] Endogeneity in ultrahigh dimension

Jianqing Fan Yuan Liao

Statistics Theory and Methods mathscidoc:1912.43398

Available at SSRN 2045864, 2012.4
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[75] A projection based conditional dependence measure with applications to high-dimensional undirected graphical models

Jianqing Fan Yang Feng Lucy Xia

Statistics Theory and Methods mathscidoc:1912.43397

arXiv preprint arXiv:1501.01617, 2020.1
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[76] Guarding against spurious discoveries in high dimensions

Jianqing Fan Wen-Xin Zhou

Statistics Theory and Methods mathscidoc:1912.43396

The Journal of Machine Learning Research, 17, (1), 7123-7156, 2016.1
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[77] Skewing methods for two-parameter locally parametric density estimation

Ming-Yen Cheng Edwin Choi Jianqing Fan Peter Hall

Statistics Theory and Methods mathscidoc:1912.43394

Bernoulli, 6, (1), 169-182, 2000
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[78] Design-adaptive minimax local linear regression for longitudinal/clustered data

Kani Chen Jianqing Fan Zhezhen Jin

Statistics Theory and Methods mathscidoc:1912.43393

Statistica Sinica, 515-534, 2008.4
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[79] Embracing the blessing of dimensionality in factor models

Quefeng Li Guang Cheng Jianqing Fan Yuyan Wang

Statistics Theory and Methods mathscidoc:1912.43392

Journal of the American Statistical Association, 113, (521), 380-389, 2018.1
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[80] Adaptively local 1-dimensional subproblems

Jianqing Fan

Statistics Theory and Methods mathscidoc:1912.43391

1989.11
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[81] Rates of convergence for the pre-asymptotic substitution bandwidth selector

Jianqing Fan Li-Shan Huang

Statistics Theory and Methods mathscidoc:1912.43390

Statistics & probability letters, 43, (3), 309-316, 1999.7
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[82] Discrete discrepancy and its application in experimental design

Jianqing Fan Hong Qin Min-Yu Xie

Statistics Theory and Methods mathscidoc:1912.43389

227-241, 2005
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[83] The elements of financial econometrics

Jianqing Fan Qiwei Yao

Statistics Theory and Methods mathscidoc:1912.43388

2017.3
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[84] Multiscale adaptive smoothing models for the hemodynamic response function in fMRI

Jiaping Wang Hongtu Zhu Jianqing Fan Kelly Giovanello Weili Lin

Statistics Theory and Methods mathscidoc:1912.43386

The annals of applied statistics, 7, (2), 904, 2013.6
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[85] FarmTest: Factor-adjusted robust multiple testing with approximate false discovery control

Jianqing Fan Yuan Ke Qiang Sun Wen-Xin Zhou

Statistics Theory and Methods mathscidoc:1912.43385

Journal of the American Statistical Association, 1-29, 2019.3
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[86] Sieve likelihood ratio statistics and Wilks phenomenon

Jianqing Fan Chunming Zhang Jian Zhang

Statistics Theory and Methods mathscidoc:1912.43384

1999.7
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[87] Non-and semi-parametric modeling in survival analysis

Jianqing Fan Jiancheng Jiang

Statistics Theory and Methods mathscidoc:1912.43383

3-33, 2009
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[88] Robust covariance estimation for approximate factor models

Jianqing Fan Weichen Wang Yiqiao Zhong

Statistics Theory and Methods mathscidoc:1912.43382

Journal of econometrics, 208, (1), 5-22, 2019.1
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[89] Precision matrix estimation in high dimensional gaussian graphical models with faster rates

Jianqing Fan Xiang Ren Quanquan Gu

Statistics Theory and Methods mathscidoc:1912.43381

177-185, 2016.5
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[90] Estimation in additive models with highly or nonhighly correlated covariates

Jiancheng Jiang Yingying Fan Jianqing Fan

Statistics Theory and Methods mathscidoc:1912.43380

The Annals of Statistics, 38, (3), 1403-1432, 2010
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[91] Estimation of functionals of sparse covariance matrices

Jianqing Fan Philippe Rigollet Weichen Wang

Statistics Theory and Methods mathscidoc:1912.43379

Annals of statistics, 43, (6), 2706, 2015
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[92] Bias correction and higher order kernel functions

Jianqing Fan Tien-Chung Hu

Statistics Theory and Methods mathscidoc:1912.43378

Statistics & probability letters, 13, (3), 235-243, 1992.2
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[93] Nonparametric transition-based tests for diffusions

Yacine At-Sahalia Jianqing Fan Heng Peng

Statistics Theory and Methods mathscidoc:1912.43375

Manuscript, Princeton University, 2009.11
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[94] Aggregation of nonparametric estimators for volatility matrix

Jianqing Fan Yingying Fan Jinchi Lv

Statistics Theory and Methods mathscidoc:1912.43374

Journal of Financial Econometrics, 5, (3), 321-357, 2007.4
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[95] Spectral Method and Regularized MLE Are Both Optimal for Top-K Ranking

Yuxin Chen Jianqing Fan Cong Ma Kaizheng Wang

Statistics Theory and Methods mathscidoc:1912.43373

arXiv preprint arXiv:1707.09971
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[96] Distributed testing and estimation under sparse high dimensional models

Heather Battey Jianqing Fan Han Liu Junwei Lu Ziwei Zhu

Statistics Theory and Methods mathscidoc:1912.43372

Annals of statistics, 46, (3), 1352, 2018.6
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[97] Nonparametric function estimation involving errors-in-variables

Jianqing Fan Young K Truong Yonghua Wang

Statistics Theory and Methods mathscidoc:1912.43371

613-627, 1991
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[98] Asymptotics of empirical eigen-structure for ultra-high dimensional spiked covariance model

Jianqing Fan Weichen Wang

Statistics Theory and Methods mathscidoc:1912.43369

arXiv preprint arXiv:1502.04733, 2015.2
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[99] An l eigenvector perturbation bound and its application to robust covariance estimation

Jianqing Fan Weichen Wang Yiqiao Zhong

Statistics Theory and Methods mathscidoc:1912.43368

Journal of Machine Learning Research, 18, (207), 1-42, 2018.4
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[100] Are discoveries spurious? Distributions of maximum spurious correlations and their applications

Jianqing Fan Qi-Man Shao Wen-Xin Zhou

Statistics Theory and Methods mathscidoc:1912.43367

Annals of statistics, 46, (3), 989, 2018.6
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[101] Feature augmentation via nonparametrics and selection (FANS) in high-dimensional classification

Jianqing Fan Yang Feng Jiancheng Jiang Xin Tong

Statistics Theory and Methods mathscidoc:1912.43366

Journal of the American Statistical Association, 111, (513), 275-287, 2016.1
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[102] Principal component analysis for big data

Jianqing Fan Qiang Sun WenXin Zhou Ziwei Zhu

Statistics Theory and Methods mathscidoc:1912.43365

Wiley StatsRef: Statistics Reference Online, 1-13
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[103] Dynamic nonparametric filtering with application to volatility estimation

M-Y Cheng Jianqing Fan Vladimir Spokoiny

Statistics Theory and Methods mathscidoc:1912.43362

Recent Advances and Trends in Nonparametric Statistics, Eds. MG Akritas and DN Politis, 315-333, 2003
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[104] Nonparametric tests of the Markov hypothesis in continuous-time models

Yacine At-Sahalia Jianqing Fan Jiancheng Jiang

Statistics Theory and Methods mathscidoc:1912.43361

The Annals of Statistics, 38, (5), 3129-3163, 2010
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[105] Control of the false discovery rate under arbitrary covariance dependence

Xu Han Weijie Gu Jianqing Fan

Statistics Theory and Methods mathscidoc:1912.43360

arXiv preprint arXiv:1012.4397, 2010.12
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[106] Distributed estimation of principal eigenspaces

Jianqing Fan Dong Wang Kaizheng Wang Ziwei Zhu

Statistics Theory and Methods mathscidoc:1912.43359

The Annals of Statistics, 47, (6), 3009-3031, 2019
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[107] Minimax efficiency of local polynomial fit estimators at boundaries

Ming-Yen Cheng Jianqing Fan J Stephen Marron

Statistics Theory and Methods mathscidoc:1912.43358

1993
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[108] Sufficient forecasting using factor models

Jianqing Fan Lingzhou Xue Jiawei Yao

Statistics Theory and Methods mathscidoc:1912.43357

Journal of econometrics, 201, (2), 292-306, 2017.12
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[109] Average regression surface for dependent data

Zongwu Cai Jianqing Fan

Statistics Theory and Methods mathscidoc:1912.43356

Journal of Multivariate Analysis, 75, (1), 112-142, 2000.10
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[110] QUADRO: A supervised dimension reduction method via Rayleigh quotient optimization

Jianqing Fan Zheng Tracy Ke Han Liu Lucy Xia

Statistics Theory and Methods mathscidoc:1912.43355

Annals of statistics, 43, (4), 1498, 2015
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[111] Nonparametric estimation of quadratic regression functionals

Li-Shan Huang Jianqing Fan

Statistics Theory and Methods mathscidoc:1912.43354

Bernoulli, 5, (5), 927-949, 1999
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[112] Local quasi-likelihood with a parametric guide

Jianqing Fan Yichao Wu Yang Feng

Statistics Theory and Methods mathscidoc:1912.43352

Annals of statistics, 37, 4153, 2009.12
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[113] An \ell_{\infty} Eigenvector Perturbation Bound and Its Application to Robust Covariance Estimation

Jianqing Fan Weichen Wang Yiqiao Zhong

Statistics Theory and Methods mathscidoc:1912.43351

arXiv preprint arXiv:1603.03516
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[114] Option pricing with model-guided nonparametric methods

Jianqing Fan Loriano Mancini

Statistics Theory and Methods mathscidoc:1912.43350

Journal of the American Statistical Association, 104, (488), 1351-1372, 2009.12
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[115] Lithium-ion battery remaining useful life estimation based on nonlinear ar model combined with degradation feature

Datong Liu Yue Luo Yu Peng Jianqing Fan Michael Pecht

Statistics Theory and Methods mathscidoc:1912.43349

Annual Conference of the Prognostics and Health Management Society, 3, 1803-1836, 2012.9
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[116] Testing and detecting jumps based on a discretely observed process

Yingying Fan Jianqing Fan

Statistics Theory and Methods mathscidoc:1912.43347

Journal of Econometrics, 164, (2), 331-344, 2011.10
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[117] Multiple testing via FDRl for large scale imaging data

Chunming Zhang Jianqing Fan Tao Yu

Statistics Theory and Methods mathscidoc:1912.43346

Annals of statistics, 39, (1), 613, 2011.2
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[118] Local quasi-likelihood estimation with data missing at random

Jianwei Chen Jianqing Fan Kim-Hung Li Haibo Zhou

Statistics Theory and Methods mathscidoc:1912.43345

Statistica Sinica, 16, (4), 1071, 2006.10
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[119] Covariance assisted screening and estimation

Tracy Ke Jiashun Jin Jianqing Fan

Statistics Theory and Methods mathscidoc:1912.43341

Annals of statistics, 42, (6), 2202, 2014.11
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[120] Dynamic integration of time-and state-domain methods for volatility estimation

Jianqing Fan Yingying Fan Jiancheng Jiang

Statistics Theory and Methods mathscidoc:1912.43340

Journal of the American Statistical Association, 102, (478), 618-631, 2007.6
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[121] Partially linear hazard regression with varying coefficients for multivariate survival data

Jianwen Cai Jianqing Fan Jiancheng Jiang Haibo Zhou

Statistics Theory and Methods mathscidoc:1912.43339

Journal of the Royal Statistical Society: Series B (Statistical Methodology), 70, (1), 141-158, 2008.2
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[122] Estimation of the false discovery proportion with unknown dependence

Jianqing Fan Xu Han

Statistics Theory and Methods mathscidoc:1912.43338

Journal of the Royal Statistical Society: Series B (Statistical Methodology), 79, (4), 1143-1164, 2017.9
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[123] Coauthorship and citation networks for statisticians

Pengsheng Ji Jianqing Fan

Statistics Theory and Methods mathscidoc:1912.43337

The Annals of Applied Statistics, 10, (4), 1779-1812, 2016
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[124] Varying-coefficient functional linear regression

Yichao Wu Jianqing Fan Hans-Georg Mller

Statistics Theory and Methods mathscidoc:1912.43336

Bernoulli, 16, (3), 730-758, 2010
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[125] A semiparametric model for cluster data

Wenyang Zhang Jianqing Fan Yan Sun

Statistics Theory and Methods mathscidoc:1912.43335

Annals of statistics, 37, 2377, 2009.10
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[126] High dimensional semiparametric latent graphical model for mixed data

Jianqing Fan Han Liu Yang Ning Hui Zou

Statistics Theory and Methods mathscidoc:1912.43333

Journal of the Royal Statistical Society: Series B (Statistical Methodology), 79, (2), 405-421
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[127] Partially linear hazard regression for multivariate survival data

Jianwen Cai Jianqing Fan Jiancheng Jiang Haibo Zhou

Statistics Theory and Methods mathscidoc:1912.43332

Journal of the American Statistical Association, 102, (478), 538-551, 2007.6
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[128] Power Enhancement in HighDimensional CrossSectional Tests

Jianqing Fan Yuan Liao Jiawei Yao

Statistics Theory and Methods mathscidoc:1912.43330

Econometrica, 83, (4), 1497-1541, 2015.7
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[129] Nonparametric modeling of longitudinal covariance structure in functional mapping of quantitative trait loci

John Stephen Yap Jianqing Fan Rongling Wu

Statistics Theory and Methods mathscidoc:1912.43328

Biometrics, 65, (4), 1068-1077, 2009.12
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[130] Statistical analysis of big data on pharmacogenomics

Jianqing Fan Han Liu

Statistics Theory and Methods mathscidoc:1912.43327

65, (7), 987-1000, 2013.6
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[131] Best possible constant for bandwidth selection

Jianqing Fan James S Marron

Statistics Theory and Methods mathscidoc:1912.43326

The Annals of Statistics, 2057-2070, 1992.12
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[132] Spatially varying coefficient model for neuroimaging data with jump discontinuities

Hongtu Zhu Jianqing Fan Linglong Kong

Statistics Theory and Methods mathscidoc:1912.43325

Journal of the American Statistical Association, 109, (507), 1084-1098
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[133] Asymptotics of empirical eigenstructure for high dimensional spiked covariance

Weichen Wang Jianqing Fan

Statistics Theory and Methods mathscidoc:1912.43324

Annals of statistics, 45, (3), 1342, 2017.6
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[134] Spot volatility estimation for high-frequency data

Jianqing Fan Yazhen Wang

Statistics Theory and Methods mathscidoc:1912.43323

Statistics and its Interface, 1, (2), 279-288, 2008
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[135] Hazard models with varying coefficients for multivariate failure time data

Jianwen Cai Jianqing Fan Haibo Zhou Yong Zhou

Statistics Theory and Methods mathscidoc:1912.43322

The Annals of Statistics, 35, (1), 324-354, 2007
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[136] Some problems on the estimation of unimodal densities

Peter J Bickel Jianqing Fan

Statistics Theory and Methods mathscidoc:1912.43321

Statistica Sinica, 23-45, 1996.1
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[137] Generalised likelihood ratio tests for spectral density

Jianqing Fan Wenyang Zhang

Statistics Theory and Methods mathscidoc:1912.43319

Biometrika, 91, (1), 195-209, 2004.3
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[138] Estimation of high dimensional mean regression in the absence of symmetry and light tail assumptions

Jianqing Fan Quefeng Li Yuyan Wang

Statistics Theory and Methods mathscidoc:1912.43318

Journal of the Royal Statistical Society: Series B (Statistical Methodology), 79, (1), 247-265, 2017.1
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[139] Projected principal component analysis in factor models

Jianqing Fan Yuan Liao Weichen Wang

Statistics Theory and Methods mathscidoc:1912.43317

Annals of statistics, 44, (1), 219, 2016.2
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[140] Sieve empirical likelihood ratio tests for nonparametric functions

Jianqing Fan Jian Zhang

Statistics Theory and Methods mathscidoc:1912.43316

The Annals of Statistics, 32, (5), 1858-1907, 2004
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[141] Ultrahigh dimensional variable selection: beyond the linear model

Jianqing Fan Richard Samworth Yichao Wu

Statistics Theory and Methods mathscidoc:1912.43315

arXiv preprint arXiv:0812.3201, 2009.12
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[142] A design-adaptive local polynomial estimator for the errors-in-variables problem

Aurore Delaigle Jianqing Fan Raymond J Carroll

Statistics Theory and Methods mathscidoc:1912.43314

Journal of the American Statistical Association, 104, (485), 348-359, 2009.3
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[143] Onestep local quasilikelihood estimation

Jianqing Fan Jianwei Chen

Statistics Theory and Methods mathscidoc:1912.43312

Journal of the Royal Statistical Society: Series B (Statistical Methodology), 61, (4), 927-943, 1999
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[144] Semiparametric estimation of covariance matrixes for longitudinal data

Jianqing Fan Yichao Wu

Statistics Theory and Methods mathscidoc:1912.43311

Journal of the American Statistical Association, 103, (484), 1520-1533, 2008.12
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[145] Multivariate regression estimation with errors-in-variables: asymptotic normality for mixing processes

Jianqing Fan Elias Masry

Statistics Theory and Methods mathscidoc:1912.43309

Journal of multivariate analysis, 43, (2), 237-271, 1992.11
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[146] Nonparametric transition-based tests for jump diffusions

Yacine Ait-Sahalia Jianqing Fan Heng Peng

Statistics Theory and Methods mathscidoc:1912.43308

Journal of the American Statistical Association, 104, (487), 1102-1116, 2009.9
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[147] Modelling multivariate volatilities via conditionally uncorrelated components

Jianqing Fan Mingjin Wang Qiwei Yao

Statistics Theory and Methods mathscidoc:1912.43307

Journal of the Royal Statistical Society: series B (statistical methodology), 70, (4), 679-702, 2008.9
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[148] Quasi-maximum likelihood estimation of GARCH models with heavy-tailed likelihoods

Jianqing Fan Lei Qi Dacheng Xiu

Statistics Theory and Methods mathscidoc:1912.43306

Journal of Business & Economic Statistics, 32, (2), 178-191, 2014.4
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[149] Variable selection for multivariate failure time data

Jianwen Cai Jianqing Fan Runze Li Haibo Zhou

Statistics Theory and Methods mathscidoc:1912.43305

Biometrika, 92, (2), 303-316, 2005.6
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[150] Nonparametric inference with generalized likelihood ratio tests

Jianqing Fan Jiancheng Jiang

Statistics Theory and Methods mathscidoc:1912.43304

Test, 16, (3), 409-444, 2007.12
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[151] Regularization for Coxs proportional hazards model with NP-dimensionality

Jelena Bradic Jianqing Fan Jiancheng Jiang

Statistics Theory and Methods mathscidoc:1912.43302

Annals of statistics, 39, (6), 3092, 2011
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[152] On the estimation of quadratic functionals

Jianqing Fan

Statistics Theory and Methods mathscidoc:1912.43301

The Annals of Statistics, 19, (3), 1273-1294, 1991
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[153] Local partial-likelihood estimation for lifetime data

Jianqing Fan Huazhen Lin Yong Zhou

Statistics Theory and Methods mathscidoc:1912.43300

The Annals of Statistics, 34, (1), 290-325, 2006
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[154] Lectures on the nearest neighbor method

Jianqing Fan Luc Devroye

Statistics Theory and Methods mathscidoc:1912.43298

2015.12
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[155] Semiparametric estimation of Value at Risk

Jianqing Fan Juan Gu

Statistics Theory and Methods mathscidoc:1912.43297

The Econometrics Journal, 6, (2), 261-290, 2003.11
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[156] Nonparametric independence screening in sparse ultra-high-dimensional varying coefficient models

Jianqing Fan Yunbei Ma Wei Dai

Statistics Theory and Methods mathscidoc:1912.43296

Journal of the American Statistical Association, 109, (507), 1270-1284, 2014.7
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[157] A study of variable bandwidth selection for local polynomial regression

Jianqing Fan Irne Gijbels Tien-Chung Hu Li-Shan Huang

Statistics Theory and Methods mathscidoc:1912.43294

Statistica Sinica, 113-127, 1996.1
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[158] Time-dependent diffusion models for term structure dynamics

Jianqing Fan Jiancheng Jiang Chunming Zhang Zhenwei Zhou

Statistics Theory and Methods mathscidoc:1912.43293

Statistica Sinica, 965-992, 2003.10
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[159] A crossvalidation method for estimating conditional densities

Jianqing Fan Tsz Ho Yim

Statistics Theory and Methods mathscidoc:1912.43292

Biometrika, 91, (4), 819-834, 2004.12
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[160] Local likelihood and local partial likelihood in hazard regression

Jianqing Fan Irene Gijbels Martin King

Statistics Theory and Methods mathscidoc:1912.43291

The Annals of Statistics, 25, (4), 1661-1690, 1997
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[161] Deconvolution with supersmooth distributions

Jianqing Fan

Statistics Theory and Methods mathscidoc:1912.43290

Canadian Journal of Statistics, 20, (2), 155-169, 1992.6
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[162] The leverage effect puzzle: Disentangling sources of bias at high frequency

Yacine Ait-Sahalia Jianqing Fan Yingying Li

Statistics Theory and Methods mathscidoc:1912.43289

Journal of Financial Economics, 109, (1), 224-249, 2013.7
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[163] Asymptotic normality for deconvolution kernel density estimators

Jianqing Fan

Statistics Theory and Methods mathscidoc:1912.43286

Sankhy: The Indian Journal of Statistics, Series A, 97-110, 1991.2
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[164] Variance estimation using refitted crossvalidation in ultrahigh dimensional regression

Jianqing Fan Shaojun Guo Ning Hao

Statistics Theory and Methods mathscidoc:1912.43285

Journal of the Royal Statistical Society: Series B (Statistical Methodology), 74, (1), 37-65, 2012.1
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[165] Vast portfolio selection with gross-exposure constraints

Jianqing Fan Jingjin Zhang Ke Yu

Statistics Theory and Methods mathscidoc:1912.43284

Journal of the American Statistical Association, 107, (498), 592-606, 2012.6
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[166] Goodness-of-fit tests for parametric regression models

Jianqing Fan Li-Shan Huang

Statistics Theory and Methods mathscidoc:1912.43282

Journal of the American Statistical Association, 96, (454), 640-652, 2001.6
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[167] Local polynomial estimation of regression functions for mixing processes

Elias Masry Jianqing Fan

Statistics Theory and Methods mathscidoc:1912.43281

Scandinavian Journal of Statistics, 24, (2), 165-179, 1997.6
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[168] High-frequency covariance estimates with noisy and asynchronous financial data

Yacine At-Sahalia Jianqing Fan Dacheng Xiu

Statistics Theory and Methods mathscidoc:1912.43280

Journal of the American Statistical Association, 105, (492), 1504-1517, 2010.12
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[169] Comments on wavelets in statistics: A review by a. antoniadis

Jianqing Fan

Statistics Theory and Methods mathscidoc:1912.43279

Journal of the Italian Statistical Society, 6, (2), 131, 1997.8
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[170] Direct estimation of low-dimensional components in additive models

Jianqing Fan Wolfgang Hrdle Enno Mammen

Statistics Theory and Methods mathscidoc:1912.43278

The Annals of Statistics, 26, (3), 943-971, 1998
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[171] Analysis of longitudinal data with semiparametric estimation of covariance function

Jianqing Fan Tao Huang Runze Li

Statistics Theory and Methods mathscidoc:1912.43277

Journal of the American Statistical Association, 102, (478), 632-641, 2007.6
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[172] Adaptive varyingcoefficient linear models

Jianqing Fan Qiwei Yao Zongwu Cai

Statistics Theory and Methods mathscidoc:1912.43276

Journal of the Royal Statistical Society: series B (statistical methodology), 65, (1), 57-80, 2003.2
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[173] Test of significance when data are curves

Jianqing Fan Sheng-Kuei Lin

Statistics Theory and Methods mathscidoc:1912.43275

Journal of the American Statistical Association, 93, (443), 1007-1021, 1998.9
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[174] Fast implementations of nonparametric curve estimators

Jianqing Fan James S Marron

Statistics Theory and Methods mathscidoc:1912.43274

Journal of computational and graphical statistics, 3, (1), 35-56, 1994.3
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[175] Ultrahigh dimensional feature selection: beyond the linear model

Jianqing Fan Richard Samworth Yichao Wu

Statistics Theory and Methods mathscidoc:1912.43273

Journal of machine learning research, 10, 2013-2038, 2009
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[176] Robust principal component analysis for functional data

N Locantore JS Marron DG Simpson N Tripoli JT Zhang KL Cohen Graciela Boente Ricardo Fraiman Babette Brumback Christophe Croux Jianqing Fan Alois Kneip John I Marden Daniel Pea Javier Prieto Jim O Ramsay Mariano J Valderrama Ana M Aguilera

Statistics Theory and Methods mathscidoc:1912.43272

Test, 8, (1), 1-73, 1999.6
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[177] Nonconcave penalized likelihood with NP-dimensionality

Jianqing Fan Jinchi Lv

Statistics Theory and Methods mathscidoc:1912.43271

IEEE Transactions on Information Theory, 57, (8), 5467-5484, 2011.7
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[178] Estimation of conditional densities and sensitivity measures in nonlinear dynamical systems

Jianqing Fan Qiwei Yao Howell Tong

Statistics Theory and Methods mathscidoc:1912.43270

Biometrika, 83, (1), 189-206, 1996.3
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[179] Nonparametric independence screening in sparse ultra-high-dimensional additive models

Jianqing Fan Yang Feng Rui Song

Statistics Theory and Methods mathscidoc:1912.43269

Journal of the American Statistical Association, 106, (494), 544-557, 2011.6
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[180] Nonparametric regression with errors in variables

Jianqing Fan Young K Truong

Statistics Theory and Methods mathscidoc:1912.43268

The Annals of Statistics, 1900-1925, 1993.12
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[181] Statistical challenges with high dimensionality: Feature selection in knowledge discovery

Jianqing Fan Runze Li

Statistics Theory and Methods mathscidoc:1912.43267

arXiv preprint math/0602133, 2006.2
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[182] Local polynomial kernel regression for generalized linear models and quasi-likelihood functions

Jianqing Fan Nancy E Heckman Matt P Wand

Statistics Theory and Methods mathscidoc:1912.43265

Journal of the American Statistical Association, 90, (429), 141-150, 1995.3
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[183] New estimation and model selection procedures for semiparametric modeling in longitudinal data analysis

Jianqing Fan Runze Li

Statistics Theory and Methods mathscidoc:1912.43264

Journal of the American Statistical Association, 99, (467), 710-723, 2004.9
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[184] Sure independence screening in generalized linear models with NP-dimensionality

Jianqing Fan Rui Song

Statistics Theory and Methods mathscidoc:1912.43263

The Annals of Statistics, 38, (6), 3567-3604, 2010
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[185] Sparsistency and rates of convergence in large covariance matrix estimation

Clifford Lam Jianqing Fan

Statistics Theory and Methods mathscidoc:1912.43262

Annals of statistics, 37, 4254, 2009
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[186] Efficient estimation and inferences for varying-coefficient models

Zongwu Cai Jianqing Fan Runze Li

Statistics Theory and Methods mathscidoc:1912.43261

Journal of the American Statistical Association, 95, (451), 888-902, 2000.9
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[187] Variable selection for Cox's proportional hazards model and frailty model

Jianqing Fan Runze Li

Statistics Theory and Methods mathscidoc:1912.43259

The Annals of Statistics, 30, (1), 74-99, 2002
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[188] High dimensional covariance matrix estimation using a factor model

Jianqing Fan Yingying Fan Jinchi Lv

Statistics Theory and Methods mathscidoc:1912.43258

Journal of Econometrics, 147, (1), 186-197, 2008.11
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[189] Profile likelihood inferences on semiparametric varying-coefficient partially linear models

Jianqing Fan Tao Huang

Statistics Theory and Methods mathscidoc:1912.43257

Bernoulli, 11, (6), 1031-1057, 2005
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[190] Datadriven bandwidth selection in local polynomial fitting: variable bandwidth and spatial adaptation

Jianqing Fan Irene Gijbels

Statistics Theory and Methods mathscidoc:1912.43255

Journal of the Royal Statistical Society: Series B (Methodological), 57, (2), 371-394, 1995.7
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[191] Statistical estimation in varying coefficient models

Jianqing Fan Wenyang Zhang

Statistics Theory and Methods mathscidoc:1912.43254

The annals of Statistics, 27, (5), 1491-1518, 1999
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[192] Variable bandwidth and local linear regression smoothers

Jianqing Fan Irene Gijbels

Statistics Theory and Methods mathscidoc:1912.43253

The Annals of Statistics, 2008-2036, 1992.12
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[193] Nonconcave penalized likelihood with a diverging number of parameters

Jianqing Fan Heng Peng

Statistics Theory and Methods mathscidoc:1912.43252

The Annals of Statistics, 32, (3), 928-961, 2004
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[194] Bootstrap methods: A guide for practitioners and researchers

Jianqing Fan

Statistics Theory and Methods mathscidoc:1912.43250

619, 2011.9
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[195] On the optimal rates of convergence for nonparametric deconvolution problems

Jianqing Fan

Statistics Theory and Methods mathscidoc:1912.43249

The Annals of Statistics, 1257-1272, 1991.9
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[196] Local linear regression smoothers and their minimax efficiencies

Jianqing Fan

Statistics Theory and Methods mathscidoc:1912.43248

The annals of Statistics, 21, (1), 196-216, 1993
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[197] Expectation-maximization algorithm with local adaptivity

Shing-Yu Leung Gang Liang Knut Solna Hongkai Zhao

Statistics Theory and Methods mathscidoc:1912.43190

IAM J. Imaging Sci., 2, (3), 834-857, 2009.7
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[198] A cell based particle method for modeling dynamic interfaces

Sean Y Hon Shing-Yu Leung Hongkai Zhao

Statistics Theory and Methods mathscidoc:1912.43188

Journal of Computational Physics, 272, 279-306, 2014.9
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[199] Strong oracle optimality of folded concave penalized estimation

Jianqing Fan Princeton University Lingzhou Xue Pennsylvania State University Hui Zou University of Minnesota

Statistics Theory and Methods mathscidoc:1909.33002

Best Paper Award in Applied Mathematics in 2019

The Annals of Statistics, 42, (3), 819-849, 2014
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[200] Nonparametric Screening under Conditional Strictly Convex Loss for Ultrahigh Dimensional Sparse Data

Xu Han Temple University

Statistics Theory and Methods mathscidoc:1909.33001

Annals of Statistics, 47, (4), 1995-2022, 2019
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[201] Data clustering based on Langevin annealing with a self-consistent potential.

KYLE LAFATA ZHENNAN ZHOU Jian-Guo Liu FANG-FANG YIN

Statistics Theory and Methods mathscidoc:1905.43006

Quart. Appl. Math. , 2018
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[202] Association Pattern Discovery via Theme Dictionary Models

Ke Deng Tsinghua University Zhi Geng Peking University Jun S. Liu Harvard University

Statistics Theory and Methods mathscidoc:1904.33003

Journal of the Royal Statistical Society, Series B, 76, (2), 319–347, 2014
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[203] Bayesian Aggregation of Order-Based Rank Data

Ke Deng Tsinghua University Simeng Han Harvard University Kate J. Li Suffolk University Jun S. Liu Harvard University

Statistics Theory and Methods mathscidoc:1904.33002

Journal of the American Statistical Association, 109, (507), 1023-1039, 2014
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[204] On the Unsupervised Analysis of Domain-Specific Chinese Texts

Ke Deng Tsinghua University Peter K. Bol Harvard University Kate J. Li Suffolk University Jun S. Liu Harvard University

Statistics Theory and Methods mathscidoc:1904.33001

Silver Award Paper in 2020

PNAS, 113, (22), 6154-6159, 2016
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[205] Feature Selection for Varying Coefficient Models With Ultrahigh-Dimensional Covariates

Jingyuan Liu Xiamen University

Statistics Theory and Methods mathscidoc:1903.33002

Journal of the American Statistical Association, 109, (505), 266-274, 2014.3
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[206] Model-Free Feature Screening for Ultrahigh Dimensional Discriminant Analysis

Hengjian Cui Capital Normal University Runze Li Pennsylvania State University Wei Zhong Xiamen University

Statistics Theory and Methods mathscidoc:1903.33001

Journal of the American Statistical Association, 110, (510), 630-641, 2015.6
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[207] Necessary and sufficient conditions for consistent root reconstruction in Markov models on trees

Wai Tong Fan UW-Madison

Information Theory Probability Statistics Theory and Methods mathscidoc:1806.19001

Electronic Journal of Probability, 23, (47), 24, 2018
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[208] Large Covariance Estimation by Thresholding Principal Orthogonal Complements

Jianqing Fan Princeton University Yuan Liao Princeton University Martina Mincheva University of Maryland

Statistics Theory and Methods mathscidoc:1806.33003

Distinguished Paper Award in 2018

Journal of the Royal Statistical Society, 2013
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[209] Confidence intervals for low dimensional parameters in high dimensional linear models

Cun-Hui Zhang Rutgers University Stephanie S. Zhang Columbia University

Statistics Theory and Methods mathscidoc:1806.33002

Distinguished Paper Award in 2018

Journal of the Royal Statistical Society, 76, 217-242, 2014
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[210] A useful variant of the Davis--Kahan theorem for statisticians.

Yi Yu University of Bristol Tengyao Wang University of Cambridge Richard J. Samworth University of Cambridge

Statistics Theory and Methods mathscidoc:1806.33001

Distinguished Paper Award in 2018

Biometrika, 102, 315-323
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[211] The ZD-GARCH model: A new way to study heteroscedasticity

Dong Li Tsinghua University

Statistics Theory and Methods mathscidoc:1712.33001

journal
[ Download ] [ 2017-12-10 10:19:33 uploaded by malidong ] [ 1066 downloads ] [ 0 comments ] [ Abstract ] [ Full ]
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[212] Statistical guarantees for the EM algorithm: From population to sample-based analysis

Bivaraman Sivaraman Carnegie Mellon University Martin J. Wainwright Carnegie Mellon University Bin Yu Carnegie Mellon University

Statistics Theory and Methods mathscidoc:1707.33002

Distinguished Paper Award in 2017

The Annals of Statistics, 45, (1), 77-120, 2017
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[213] Estimating False Discovery Proportion under Arbitrary Covariance Dependence

Jianqing Fan Princeton University Xu Han Temple University Weijie Gu Princeton University

Statistics Theory and Methods mathscidoc:1707.33001

Silver Award Paper in 2017

Journal of the American Statistical Association, 107, (499), 1019-1035, 2012.9
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[214] General forms of finite population central limit theorems with applications to causal inference

Xinran Li Harvard University Peng Ding University of California

Optimization and Control Statistics Theory and Methods mathscidoc:1706.27001

Gold Award Paper in 2017

Journal of the American Statistical Association, 2017
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[215] Sparse PCA: Optimal rates and adaptive estimation

T. Tony Cai University of Pennsylvania Zongming Ma University of Pennsylvania Yihong Wu University of Illinois at Urbana-Champaign

Statistics Theory and Methods mathscidoc:1706.33001

Distinguished Paper Award in 2017

The Annals of Statistics, 41, (6), 2013
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[216] Minimization and parameter estimation for seminorm regularization models with I -divergence constraints

T Teuber University of Kaiserslautern G Steidl University of Kaiserslautern Raymond Chan The Chinese University of Hong Kong

Optimization and Control Statistics Theory and Methods mathscidoc:1705.27003

Distinguished Paper Award in 2018

Inverse Problems, 29, (3), 2013
[ Download ] [ 2017-05-30 13:25:15 uploaded by yauawardadmin ] [ 1306 downloads ] [ 0 comments ] [ Abstract ] [ Full ]
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[217] A Path-Integral Approach to Bayesian Inference for Inverse Problems Using the Semiclassical Approximation

Josh C. Chang NIH Van M. Savage UCLA Tom Chou UCLA

Information Theory Mathematical Physics Statistics Theory and Methods Theoretical Physics mathscidoc:1702.19001

Distinguished Paper Award in 2017

Journal of Statistical Physics, 157, 582-602, 2014.11
[ Download ] [ 2017-02-14 09:23:44 uploaded by tomchou ] [ 1591 downloads ] [ 0 comments ] [ Abstract ] [ Full ]
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[218] Calibrating nonconvex penalized regression in ultra-high dimension

Lan WANG University of Minnesota Yongdai Kim Seoul National University Runze Li Pennsylvania State University

Statistics Theory and Methods mathscidoc:1702.33008

Distinguished Paper Award in 2017

2505, 2013.10
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[219] Nonparametric Mixture of Regression Models

Mian Huang Shanghai University of Finance and Economics Runze Li Pennsylvania State University Shaoli Wang Shanghai University of Finance and Economics

Statistics Theory and Methods mathscidoc:1702.33007

929, 2013.9
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[220] New local estimation procedure for a non-parametric regression function for longitudinal data

Weixin Yao Kansas State University Runze Li Pennsylvania State University

Statistics Theory and Methods mathscidoc:1702.33006

123, 2013.2
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[221] Multivariate varying coefficient model for functional responses

Hongtu ZHU UNIVERSITY OF NORTH CAROLINA AT CHAPEL HILL Runze Li PENNSYLVANIA STATE UNIVERSITY Linglong Kong UNIVERSITY OF ALBERTA

Statistics Theory and Methods mathscidoc:1702.33005

2634, 2012.10
[ Download ] [ 2017-02-05 11:31:56 uploaded by runzelipsu ] [ 1269 downloads ] [ 0 comments ] [ Abstract ] [ Full ]
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[222] Variable selection in linear mixed effects models

Yingying Fang University of Southern California Runze Li Pennsylvania State University

Statistics Theory and Methods mathscidoc:1702.33004

2043, 2012.8
[ Download ] [ 2017-02-05 11:28:42 uploaded by runzelipsu ] [ 1098 downloads ] [ 0 comments ] [ Abstract ] [ Full ]
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[223] Quantile Regression for Analyzing Heterogeneity in Ultra-High Dimension

Lan WANG University of Minnesota Yichao Wu North Carolina State University Runze Li Pennsylvania State University

Statistics Theory and Methods mathscidoc:1702.33003

214, 2012.3
[ Download ] [ 2017-02-05 11:25:48 uploaded by runzelipsu ] [ 1284 downloads ] [ 0 comments ] [ Abstract ] [ Full ]
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[224] Feature Screening via Distance Correlation Learning

Runze Li Penn State University Wei Zhong Xiamen University Liping Zhu Renmin University

Statistics Theory and Methods mathscidoc:1702.33002

Journal of American Statistical Association, 107, (499), 1129, 2012.9
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[225] Two Dimensional Yau-Hausdorff Distance with Applications on Comparison of DNA and Protein Sequences

Kun Tian Tsinghua University Xiaoqian Yang Tsinghua University Qin Kong Tsinghua University Changchuan Yin The University of Illinois at Chicago Rong L. He Chicago State University Stephen S.-T. Yau Tsinghua University

Statistics Theory and Methods mathscidoc:1702.33001

Distinguished Paper Award in 2019

PLOS ONE, 1-19, 2015.9
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[226] Signed Support Recovery for Single Index Models in High-Dimensions

Neykov Matey Princeton University Qian Lin Harvard University Jun S. Liu Harvard University

Statistics Theory and Methods mathscidoc:1701.333183

Annals of Mathematical Sciences and Applications, 1, (2), 379-426, 2016
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[227] On consistency and sparsity for sliced inverse regression in high dimensions

Qian Lin Harvard University Zhigen Zhao Temple University Jun S. Liu Harvard University

Statistics Theory and Methods mathscidoc:1701.333182

Distinguished Paper Award in 2017

Annals of statistics
[ Download ] [ 2017-01-21 19:31:17 uploaded by qianlin ] [ 1432 downloads ] [ 0 comments ] [ Abstract ] [ Full ]
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[228] Sparse Sliced Inverse Regression for High Dimensional Data

Qian Lin Harvard University Zhigen Zhao Temple University Jun S. Liu Harvard University

Statistics Theory and Methods mathscidoc:1701.333181

[ Download ] [ 2017-01-21 19:28:11 uploaded by qianlin ] [ 1410 downloads ] [ 0 comments ] [ Abstract ] [ Full ]
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[229] On the optimality of sliced inverse regression in high dimensions

Qian Lin Harvard University Xinran Li Harvard University Dongming Huang Harvard University Jun S. Liu Harvard University

Statistics Theory and Methods mathscidoc:1701.333180

[ Download ] [ 2017-01-21 19:24:07 uploaded by qianlin ] [ 997 downloads ] [ 0 comments ] [ Abstract ] [ Full ]
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[230] Proper holomorphic embeddings of finitely connected planar domains into ℂ^{$n$}

Irena Majcen Mathematisches Institut, Alpeneggstrasse 22, Bern, Switzerland

Differential Geometry Geometric Analysis and Geometric Topology Statistics Theory and Methods mathscidoc:1701.10012

Arkiv for Matematik, 51, (2), 329-343, 2012.1
[ Download ] [ 2017-01-08 20:36:35 uploaded by arkivadmin ] [ 956 downloads ] [ 0 comments ] [ Abstract ] [ Full ]
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[231] Virus classification in 60-dimensional protein space

Yongkun Li Department of Mathematical Sciences, Tsinghua University, Beijing 100084, PR China Kun Tian Department of Mathematical Sciences, Tsinghua University, Beijing 100084, PR China Changchuan Yin Department of Mathematics, Statistics and Computer Science, The University of Illinois at Chicago, Chicago, IL 60607-7045, USA Rong Lucy He Department of Biological Sciences, Chicago State University, Chicago, IL 60628, USA Stephen S.-T. Yau Department of Mathematical Sciences, Tsinghua University, Beijing 100084, PR China

Statistics Theory and Methods mathscidoc:1611.33001

Molecular Phylogenetics and Evolution, 2016, (99), 10, 2016.3
[ Download ] [ 2016-11-26 21:06:35 uploaded by JackLee ] [ 1503 downloads ] [ 0 comments ] [ Abstract ] [ Full ]
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