Statistics Theory and Methods

[1] 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

Journal of Statistical Physics, 157, 582-602, 2014.11
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[2] 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
[ Download ] [ 2017-01-21 19:36:54 uploaded by qianlin ] [ 206 downloads ] [ 0 comments ] [ Abstract ] [ Full ]
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[3] 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

PLOS ONE, 1-19, 2015.9
[ Download ] [ 2017-02-03 16:45:15 uploaded by Stephenyau ] [ 177 downloads ] [ 0 comments ] [ Abstract ] [ Full ]
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[4] 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
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[5] 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

Annals of statistics
[ Download ] [ 2017-01-21 19:31:17 uploaded by qianlin ] [ 164 downloads ] [ 0 comments ] [ Abstract ] [ Full ]
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