An Approximate Bayesian Approach to Covariate-dependent Graphical Modeling

15 March 2023

Papers citing "An Approximate Bayesian Approach to Covariate-dependent Graphical Modeling"

12 / 12 papers shown

Title
Estimating Time-Varying Graphical Models Jilei Yang Jie Peng 43 37 0 11 Apr 2018
varbvs: Fast Variable Selection for Large-scale Regression P. Carbonetto Xiaoping Zhou M. Stephens BDL 34 16 0 19 Sep 2017
A Variational Algorithm for Bayesian Variable Selection Xichen Huang Jin Wang Feng Liang BDL 41 29 0 24 Feb 2016
Variational Inference: A Review for Statisticians David M. Blei A. Kucukelbir Jon D. McAuliffe BDL 258 4,787 0 04 Jan 2016
Inference for Sparse Conditional Precision Matrices Jialei Wang Mladen Kolar 86 22 0 24 Dec 2014
Joint Estimation of Multiple Graphical Models from High Dimensional Time Series Huitong Qiu Fang Han Han Liu B. Caffo 84 97 0 01 Nov 2013
Learning Bayesian Networks: The Combination of Knowledge and Statistical Data David Heckerman D. Geiger D. M. Chickering TPM 102 3,981 0 27 Feb 2013
Needles and Straw in a Haystack: Posterior concentration for possibly sparse sequences I. Castillo A. van der Vaart 129 251 0 06 Nov 2012
Bayesian Nonparametric Covariance Regression E. Fox David B. Dunson 137 105 0 11 Jan 2011
Graph-Valued Regression Han Liu Xinyu Chen John D. Lafferty Larry A. Wasserman 96 39 0 21 Jun 2010
Restricted Eigenvalue Conditions on Subgaussian Random Matrices Shuheng Zhou 172 81 0 21 Dec 2009
Estimating time-varying networks Mladen Kolar Le Song Amr Ahmed Eric Xing AI4TS 112 312 0 30 Dec 2008