Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
1309.6024
Cited By
Asymptotic normality and optimalities in estimation of large Gaussian graphical models
24 September 2013
Zhao Ren
Tingni Sun
Cun-Hui Zhang
Harrison H. Zhou
Re-assign community
ArXiv
PDF
HTML
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
20
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
31
48
0
09 Mar 2020
Double-estimation-friendly inference for high-dimensional misspecified models
Rajen Dinesh Shah
Peter Buhlmann
16
10
0
24 Sep 2019
Fixed effects testing in high-dimensional linear mixed models
Jelena Bradic
G. Claeskens
Thomas Gueuning
20
17
0
14 Aug 2017
Robust Regression via Mutivariate Regression Depth
Chao Gao
21
48
0
15 Feb 2017
Testing Endogeneity with High Dimensional Covariates
Zijian Guo
Hyunseung Kang
T. Tony Cai
Dylan S. Small
19
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
13
117
0
16 Mar 2016
High-dimensional robust precision matrix estimation: Cellwise corruption under
ε
ε
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
55
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
1