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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
Zhao Ren
Tingni Sun
Cun-Hui Zhang
Harrison H. Zhou
ArXivPDFHTML

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
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
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
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
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
Differential Network Analysis: A Statistical Perspective
Ali Shojaie
25
48
0
09 Mar 2020
Double-estimation-friendly inference for high-dimensional misspecified
  models
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
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
Robust Regression via Mutivariate Regression Depth
Chao Gao
18
48
0
15 Feb 2017
Testing Endogeneity with High Dimensional Covariates
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
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
High-dimensional robust precision matrix estimation: Cellwise corruption under εεε-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
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
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
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
Discussion: Latent variable graphical model selection via convex optimization
Martin J. Wainwright
38
8
0
05 Nov 2012
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