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Posterior convergence rates for estimating large precision matrices using graphical models

12 February 2013

Papers citing "Posterior convergence rates for estimating large precision matrices using graphical models"

24 / 24 papers shown

Title
Bayesian Inference for High-dimensional Time Series by Latent Process Modeling Arkaprava Roy Anindya Roy S. Ghosal AI4TS 125 0 0 07 Mar 2024
High-Dimensional Bernstein Von-Mises Theorems for Covariance and Precision Matrices Partha Sarkar Kshitij Khare Malay Ghosh Matt P. Wand 84 1 0 15 Sep 2023
Learning Networks from Gaussian Graphical Models and Gaussian Free Fields Subhro Ghosh Soumendu Sundar Mukherjee Hoang-Son Tran Ujan Gangopadhyay 40 0 0 04 Aug 2023
Bayesian Regularization for Functional Graphical Models with Applications to Neuroimaging Jiajing Niu Boyoung Hur J. Absher D. Brown 29 0 0 11 Oct 2021
Scalable Bayesian high-dimensional local dependence learning Kyoungjae Lee Lizhen Lin 55 3 0 24 Sep 2021
Precision Matrix Estimation under the Horseshoe-like Prior-Penalty Dual K. Sagar Sayantan Banerjee J. Datta A. Bhadra 37 11 0 21 Apr 2021
Bayesian inference in high-dimensional models Sayantan Banerjee I. Castillo S. Ghosal 117 23 0 12 Jan 2021
Post-Processed Posteriors for Banded Covariances Kwangmin Lee Kyoungjae Lee Jaeyong Lee 76 6 0 25 Nov 2020
Joint Bayesian Variable and DAG Selection Consistency for High-dimensional Regression Models with Network-structured Covariates Xuan Cao Kyoungjae Lee 28 5 0 20 Apr 2020
Bayesian inference for high-dimensional decomposable graphs Kyoungjae Lee Xuan Cao 37 6 0 17 Apr 2020
An empirical $G$ -Wishart prior for sparse high-dimensional Gaussian graphical models Chang-rui Liu Ryan Martin 29 13 0 09 Dec 2019
Consistent Bayesian Sparsity Selection for High-dimensional Gaussian DAG Models with Multiplicative and Beta-mixture Priors Xuan Cao Kshitij Khare M. Ghosh 41 5 0 08 Mar 2019
Bayesian Graph Selection Consistency Under Model Misspecification Yabo Niu D. Pati Bani Mallick CML 60 9 0 14 Jan 2019
Bayesian Linear Regression for Multivariate Responses Under Group Sparsity Bo Ning Seonghyun Jeong S. Ghosal 56 42 0 10 Jul 2018
Bayesian Bandwidth Test and Selection for High-dimensional Banded Precision Matrices Kyoungjae Lee Lizhen Lin 43 2 0 23 Apr 2018
Minimax Estimation of Large Precision Matrices with Bandable Cholesky Factor Yu Liu Zhao Ren 55 11 0 27 Dec 2017
Estimating Large Precision Matrices via Modified Cholesky Decomposition Kyoungjae Lee Jaeyong Lee 74 23 0 04 Jul 2017
Oracle posterior contraction rates under hierarchical priors Q. Han 57 6 0 25 Apr 2017
Optimal Bayesian Minimax Rates for Unconstrained Large Covariance Matrices Kyoungjae Lee Jaeyong Lee 38 15 0 24 Feb 2017
Posterior Graph Selection and Estimation Consistency for High-dimensional Bayesian DAG Models Xuan Cao Kshitij Khare M. Ghosh 68 56 0 03 Nov 2016
A General Framework for Bayes Structured Linear Models Chao Gao A. van der Vaart Harrison H. Zhou 298 57 0 06 Jun 2015
Optimal Bayesian estimation in stochastic block models D. Pati A. Bhattacharya 113 7 0 26 May 2015
Rate-optimal posterior contraction for sparse PCA Chao Gao Harrison H. Zhou 161 35 0 30 Nov 2013
Bayesian estimation of a sparse precision matrix Sayantan Banerjee S. Ghosal 63 3 0 06 Sep 2013