Honest confidence regions and optimality in high-dimensional precision matrix estimation

8 July 2015

Papers citing "Honest confidence regions and optimality in high-dimensional precision matrix estimation"

6 / 6 papers shown

Title
Asymptotic normality and optimalities in estimation of large Gaussian graphical models Zhao Ren Tingni Sun Cun-Hui Zhang Harrison H. Zhou 127 245 0 24 Sep 2013
Confidence Intervals and Hypothesis Testing for High-Dimensional Regression Adel Javanmard Andrea Montanari 168 766 0 13 Jun 2013
Valid post-selection inference R. Berk L. Brown A. Buja Kai Zhang Linda H. Zhao 184 583 0 05 Jun 2013
Supplementary Appendix for "Inference on Treatment Effects After Selection Amongst High-Dimensional Controls" A. Belloni Victor Chernozhukov Christian B. Hansen 213 1,401 0 27 May 2013
Model Selection for High-Dimensional Regression under the Generalized Irrepresentability Condition Adel Javanmard Andrea Montanari 108 21 0 02 May 2013
$High-dimensional covariance estimation by minimizing $\ell_1$-penalized log-determinant divergence$ High-dimensional covariance estimation by minimizing $\ell_1$ -penalized log-determinant divergence Pradeep Ravikumar Martin J. Wainwright Garvesh Raskutti Bin Yu 214 874 0 21 Nov 2008