Extended Bayesian Information Criteria for Gaussian Graphical Models

30 November 2010

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

30 / 30 papers shown

Title
Adaptive Bayesian Multivariate Spline Knot Inference with Prior Specifications on Model Complexity Junhui He Ying Yang Jian Kang 27 0 0 22 May 2024
Network reconstruction via the minimum description length principle Tiago P. Peixoto 23 5 0 02 May 2024
Human-in-the-Loop Causal Discovery under Latent Confounding using Ancestral GFlowNets Tiago da Silva Eliezer de Souza da Silva Adèle H. Ribeiro António Góis Dominik Heider Samuel Kaski Diego Mesquita CML 54 6 0 21 Sep 2023
On the application of Gaussian graphical models to paired data problems Saverio Ranciati A. Roverato 34 1 0 26 Jul 2023
Testing Sparsity Assumptions in Bayesian Networks Luke Duttweiler Sally W. Thurston A. Almudevar 26 0 0 12 Jul 2023
On Learning Time Series Summary DAGs: A Frequency Domain Approach Aramayis Dallakyan CML AI4TS 30 3 0 17 Apr 2023
High-Dimensional Undirected Graphical Models for Arbitrary Mixed Data Konstantin Göbler Anne Miloschewski Mathias Drton S. Mukherjee 19 2 0 21 Nov 2022
An Experimental Study of Dimension Reduction Methods on Machine Learning Algorithms with Applications to Psychometrics Sean H. Merritt A. Christensen 11 3 0 19 Oct 2022
Multi-View Independent Component Analysis with Shared and Individual Sources T. Pandeva Patrick Forré CML 15 5 0 05 Oct 2022
GLIME: A new graphical methodology for interpretable model-agnostic explanations Zoumpolia Dikopoulou S. Moustakidis Patrik Karlsson 13 6 0 21 Jul 2021
DAGs with No Curl: An Efficient DAG Structure Learning Approach Yue Yu Tian Gao Naiyu Yin Q. Ji CML 30 59 0 14 Jun 2021
Online Structural Change-point Detection of High-dimensional Streaming Data via Dynamic Sparse Subspace Learning Ruiyu Xu Jianguo Wu Xiaowei Yue Yongxiang Li 30 8 0 24 Sep 2020
The huge Package for High-dimensional Undirected Graph Estimation in R T. Zhao Han Liu Kathryn Roeder John D. Lafferty Larry A. Wasserman 11 479 0 26 Jun 2020
Structure Learning for Cyclic Linear Causal Models Carlos Améndola Philipp Dettling Mathias Drton Federica Onori Jun Wu CML 13 15 0 10 Jun 2020
Certifiably Optimal Sparse Inverse Covariance Estimation Dimitris Bertsimas Jourdain Lamperski J. Pauphilet 22 13 0 25 Jun 2019
Predictive Learning on Hidden Tree-Structured Ising Models Konstantinos E. Nikolakakis Dionysios S. Kalogerias Anand D. Sarwate 23 12 0 11 Dec 2018
PANDA: AdaPtive Noisy Data Augmentation for Regularization of Undirected Graphical Models Yinan Li Xiao Liu Fang Liu 29 7 0 11 Oct 2018
Robust Bayesian Model Selection for Variable Clustering with the Gaussian Graphical Model Daniel Andrade Akiko Takeda Kenji Fukumizu 29 4 0 15 Jun 2018
Model-based Clustering with Sparse Covariance Matrices Michael Fop T. B. Murphy Luca Scrucca 34 39 0 21 Nov 2017
Quantile Graphical Models: Prediction and Conditional Independence with Applications to Systemic Risk A. Belloni Mingli Chen Victor Chernozhukov 19 7 0 01 Jul 2016
Generalized Network Psychometrics: Combining Network and Latent Variable Models S. Epskamp M. Rhemtulla D. Borsboom 15 424 0 30 May 2016
Generalized Stability Approach for Regularized Graphical Models Christian L. Müller Richard Bonneau Zachary D. Kurtz 30 21 0 23 May 2016
Sparse Estimation of Multivariate Poisson Log-Normal Models from Count Data Hao Wu Xinwei Deng Naren Ramakrishnan 6 16 0 22 Feb 2016
High-dimensional consistency in score-based and hybrid structure learning Preetam Nandy Alain Hauser Marloes H. Maathuis 39 129 0 09 Jul 2015
Stratified Gaussian Graphical Models Henrik J. Nyman J. Pensar J. Corander 23 7 0 08 Sep 2014
L0 Sparse Inverse Covariance Estimation G. Marjanovic Alfred Hero 27 38 0 05 Aug 2014
Estimation of positive definite M-matrices and structure learning for attractive Gaussian Markov Random fields M. Slawski Matthias Hein 43 104 0 26 Apr 2014
Bayesian model choice and information criteria in sparse generalized linear models Rina Foygel Mathias Drton 45 62 0 23 Dec 2011
Fast-rate and optimistic-rate error bounds for L1-regularized regression Rina Foygel Nathan Srebro 66 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 56 90 0 06 Jul 2011