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

[ Download ] [ 2017-02-14 09:23:44 uploaded by tomchou ] [ 26 downloads ] [ 0 comments ] [ Abstract ] [ Full ]
Please log in for comment!
 

[2] 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

[ Download ] [ 2017-02-05 11:40:57 uploaded by runzelipsu ] [ 11 downloads ] [ 0 comments ] [ Abstract ] [ Full ]
Please log in for comment!
 

[3] 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

[ Download ] [ 2017-02-05 11:38:32 uploaded by runzelipsu ] [ 15 downloads ] [ 0 comments ] [ Abstract ] [ Full ]
Please log in for comment!
 

[4] 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

[ Download ] [ 2017-02-05 11:35:52 uploaded by runzelipsu ] [ 14 downloads ] [ 0 comments ] [ Abstract ] [ Full ]
Please log in for comment!
 

[5] 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

[ Download ] [ 2017-02-05 11:31:56 uploaded by runzelipsu ] [ 15 downloads ] [ 0 comments ] [ Abstract ] [ Full ]
Please log in for comment!
 

Show all 3 5 10 25 papers per page.
Sort by time views
 
Contact us: office-iccm@tsinghua.edu.cn | Copyright Reserved