Statistics Theory and Methods

[21] 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
[ Download ] [ 2019-12-21 11:43:16 uploaded by Jianqing_Fan ] [ 1658 downloads ] [ 0 comments ] [ Abstract ] [ Full ]
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[22] 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 ] [ 1655 downloads ] [ 0 comments ] [ Abstract ] [ Full ]
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[23] 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
[ Download ] [ 2017-02-05 11:21:14 uploaded by runzelipsu ] [ 1649 downloads ] [ 0 comments ] [ Abstract ] [ Full ]
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[24] 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
[ Download ] [ 2022-06-21 17:10:20 uploaded by perj ] [ 1641 downloads ] [ 0 comments ] [ Abstract ] [ Full ]
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[25] 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 ] [ 1635 downloads ] [ 0 comments ] [ Abstract ] [ Full ]
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