Extended Bayesian Information Criteria for Gaussian Graphical Models

30 November 2010

Papers citing "Extended Bayesian Information Criteria for Gaussian Graphical Models"

21 / 71 papers shown

Title
Sparse Inverse Covariance Estimation for High-throughput microRNA Sequencing Data in the Poisson Log-Normal Graphical Model David G. Sinclair Giles Hooker 44 5 0 15 Aug 2017
High-Dimensional Adaptive Function-on-Scalar Regression Zhaohu Fan M. Reimherr 77 41 0 24 Oct 2016
Quantile Graphical Models: Prediction and Conditional Independence with Applications to Systemic Risk A. Belloni Mingli Chen Victor Chernozhukov 82 7 0 01 Jul 2016
Structure Learning in Graphical Modeling Mathias Drton Marloes H. Maathuis CML 112 253 0 07 Jun 2016
Generalized Network Psychometrics: Combining Network and Latent Variable Models S. Epskamp M. Rhemtulla D. Borsboom 22 433 0 30 May 2016
Generalized Stability Approach for Regularized Graphical Models Christian L. Müller Richard Bonneau Zachary D. Kurtz 49 21 0 23 May 2016
Learning Gaussian Graphical Models With Fractional Marginal Pseudo-likelihood Janne Leppä-aho J. Pensar Teemu Roos J. Corander 60 19 0 25 Feb 2016
Sparse Estimation of Multivariate Poisson Log-Normal Models from Count Data Hao Wu Xinwei Deng Naren Ramakrishnan 38 16 0 22 Feb 2016
High-dimensional consistency in score-based and hybrid structure learning Preetam Nandy Alain Hauser Marloes H. Maathuis 106 130 0 09 Jul 2015
BDgraph: An R Package for Bayesian Structure Learning in Graphical Models Abdolreza Mohammadi E. Wit CML 59 104 0 21 Jan 2015
Stratified Gaussian Graphical Models Henrik J. Nyman J. Pensar J. Corander 36 7 0 08 Sep 2014
L0 Sparse Inverse Covariance Estimation G. Marjanovic Alfred Hero 440 38 0 05 Aug 2014
Estimation of positive definite M-matrices and structure learning for attractive Gaussian Markov Random fields M. Slawski Matthias Hein 162 104 0 26 Apr 2014
Active Learning for Undirected Graphical Model Selection Divyanshu Vats Robert D. Nowak Richard G. Baraniuk 153 8 0 13 Apr 2014
Learning Graphical Models With Hubs Kean Ming Tan Palma London Karthika Mohan Su-In Lee Maryam Fazel Daniela Witten 118 100 0 28 Feb 2014
Concave Penalized Estimation of Sparse Gaussian Bayesian Networks Bryon Aragam Qing Zhou CML 132 107 0 04 Jan 2014
Markov Network Structure Learning via Ensemble-of-Forests Models Eirini Arvaniti M. Claassen 43 5 0 17 Dec 2013
A Junction Tree Framework for Undirected Graphical Model Selection Divyanshu Vats Robert D. Nowak CML 132 8 0 17 Apr 2013
Bayesian model choice and information criteria in sparse generalized linear models Rina Foygel Mathias Drton 66 63 0 23 Dec 2011
Fast-rate and optimistic-rate error bounds for L1-regularized regression Rina Foygel Nathan Srebro 86 7 0 01 Aug 2011
High-Dimensional Gaussian Graphical Model Selection: Walk Summability and Local Separation Criterion Anima Anandkumar Vincent Y. F. Tan A. Willsky 159 90 0 06 Jul 2011