Asymptotic normality and optimalities in estimation of large Gaussian
graphical models

Asymptotic normality and optimalities in estimation of large Gaussian graphical models

24 September 2013

Harrison H. Zhou

Papers citing "Asymptotic normality and optimalities in estimation of large Gaussian graphical models"

15 / 15 papers shown

Title
The Wreaths of KHAN: Uniform Graph Feature Selection with False Discovery Rate Control Jiajun Liang Yue Liu Doudou Zhou Sinian Zhang Junwei Lu 18 0 0 18 Mar 2024
Inference on Optimal Dynamic Policies via Softmax Approximation Qizhao Chen Morgane Austern Vasilis Syrgkanis OffRL 20 1 0 08 Mar 2023
Uncertainty quantification for sparse Fourier recovery F. Hoppe Felix Krahmer C. M. Verdun Marion I. Menzel Holger Rauhut 27 7 0 30 Dec 2022
A unified precision matrix estimation framework via sparse column-wise inverse operator under weak sparsity Zeyu Wu Cheng-Long Wang Weidong Liu 20 3 0 07 Jul 2021
Differential Network Analysis: A Statistical Perspective Ali Shojaie 25 48 0 09 Mar 2020
Double-estimation-friendly inference for high-dimensional misspecified models Rajen Dinesh Shah Peter Buhlmann 10 10 0 24 Sep 2019
Fixed effects testing in high-dimensional linear mixed models Jelena Bradic G. Claeskens Thomas Gueuning 18 17 0 14 Aug 2017
Robust Regression via Mutivariate Regression Depth Chao Gao 18 48 0 15 Feb 2017
Testing Endogeneity with High Dimensional Covariates Zijian Guo Hyunseung Kang T. Tony Cai Dylan S. Small 14 24 0 21 Sep 2016
Confidence Intervals for Causal Effects with Invalid Instruments using Two-Stage Hard Thresholding with Voting Zijian Guo Hyunseung Kang T. Tony Cai Dylan S. Small 11 117 0 16 Mar 2016
High-dimensional robust precision matrix estimation: Cellwise corruption under $ε$ -contamination Po-Ling Loh X. Tan 13 30 0 24 Sep 2015
The Benefit of Group Sparsity in Group Inference with De-biased Scaled Group Lasso Ritwik Mitra Cun-Hui Zhang 24 46 0 13 Dec 2014
Confidence intervals for high-dimensional inverse covariance estimation Jana Janková Sara van de Geer 50 183 0 26 Mar 2014
Hypothesis Testing in High-Dimensional Regression under the Gaussian Random Design Model: Asymptotic Theory Adel Javanmard Andrea Montanari 99 160 0 17 Jan 2013
Discussion: Latent variable graphical model selection via convex optimization Martin J. Wainwright 38 8 0 05 Nov 2012