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Selective Inference for Hierarchical Clustering


Dec 05, 2020
Lucy L. Gao, Jacob Bien, Daniela Witten


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Testing for Association in Multi-View Network Data


Sep 25, 2019
Lucy L. Gao, Daniela Witten, Jacob Bien


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Are Clusterings of Multiple Data Views Independent?


Jan 12, 2019
Lucy L. Gao, Jacob Bien, Daniela Witten

* 20 pages, 4 figures, 1 table (main text); 15 pages, 9 figures (supplement) 

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Distributionally Robust Reduced Rank Regression and Principal Component Analysis in High Dimensions


Oct 18, 2018
Kean Ming Tan, Qiang Sun, Daniela Witten


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In Defense of the Indefensible: A Very Naive Approach to High-Dimensional Inference


Dec 07, 2017
Sen Zhao, Ali Shojaie, Daniela Witten

* 61 pages, 3 figures, 8 tables 

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Convex Modeling of Interactions with Strong Heredity


Oct 04, 2015
Asad Haris, Daniela Witten, Noah Simon

* Final version accepted for publication in JCGS 

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Selection Bias Correction and Effect Size Estimation under Dependence


Mar 28, 2015
Kean Ming Tan, Noah Simon, Daniela Witten

* 21 pages, 2 figures 

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Fused Lasso Additive Model


Sep 18, 2014
Ashley Petersen, Daniela Witten, Noah Simon


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Learning Graphical Models With Hubs


Aug 09, 2014
Kean Ming Tan, Palma London, Karthik Mohan, Su-In Lee, Maryam Fazel, Daniela Witten


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Sure Screening for Gaussian Graphical Models


Jul 29, 2014
Shikai Luo, Rui Song, Daniela Witten


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Inference in High Dimensions with the Penalized Score Test


May 19, 2014
Arend Voorman, Ali Shojaie, Daniela Witten

* 32 pages, 5 figures 

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Node-Based Learning of Multiple Gaussian Graphical Models


Jan 22, 2014
Karthik Mohan, Palma London, Maryam Fazel, Daniela Witten, Su-In Lee

* 42 pages, 16 figures. Accepted to JMLR, 2014 

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The Cluster Graphical Lasso for improved estimation of Gaussian graphical models


Jul 19, 2013
Kean Ming Tan, Daniela Witten, Ali Shojaie


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