High-Dimensional Undirected Graphical Models for Arbitrary Mixed Data

High-Dimensional Undirected Graphical Models for Arbitrary Mixed Data

21 November 2022

Konstantin Göbler

Anne Miloschewski

Papers citing "High-Dimensional Undirected Graphical Models for Arbitrary Mixed Data"

15 / 15 papers shown

Title
Fast computation of latent correlations Grace Yoon Christian L. Müller Irina Gaynanova 12 11 0 24 Jun 2020
Graph estimation for Gaussian data zero-inflated by double truncation Gégout-Petit Anne Gueudin-Muller Aurélie Karmann Clémence 16 3 0 18 Nov 2019
The Landscape of Empirical Risk for Non-convex Losses Song Mei Yu Bai Andrea Montanari 66 312 0 22 Jul 2016
On Semiparametric Exponential Family Graphical Models Zhuoran Yang Y. Ning Han Liu 62 32 0 30 Dec 2014
High Dimensional Semiparametric Latent Graphical Model for Mixed Data Jianqing Fan Han Liu Y. Ning H. Zou 51 120 0 29 Apr 2014
Estimating Time-varying Brain Connectivity Networks from Functional MRI Time Series R. Monti Peter J Hellyer D. Sharp R. Leech C. Anagnostopoulos Giovanni Montana 63 173 0 14 Oct 2013
High-dimensional Mixed Graphical Models Jie Cheng Tianxi Li Elizaveta Levina Ji Zhu 82 78 0 09 Apr 2013
Regularized rank-based estimation of high-dimensional nonparanormal graphical models Lingzhou Xue H. Zou 94 263 0 13 Feb 2013
The Nonparanormal SKEPTIC Han Liu Fang Han M. Yuan John D. Lafferty Larry A. Wasserman 179 196 0 27 Jun 2012
Extended Bayesian Information Criteria for Gaussian Graphical Models Rina Foygel Mathias Drton 124 866 0 30 Nov 2010
$High-dimensional Ising model selection using ${\ell_1}$-regularized logistic regression$ High-dimensional Ising model selection using ${\ell_1}$ -regularized logistic regression Pradeep Ravikumar Martin J. Wainwright John D. Lafferty 217 957 0 02 Oct 2010
Robust graphical modeling of gene networks using classical and alternative T-distributions Michael Finegold Mathias Drton 60 113 0 19 Sep 2010
The Nonparanormal: Semiparametric Estimation of High Dimensional Undirected Graphs Han Liu John D. Lafferty Larry A. Wasserman 133 760 0 03 Mar 2009
$High-dimensional covariance estimation by minimizing $\ell_1$-penalized log-determinant divergence$ High-dimensional covariance estimation by minimizing $\ell_1$ -penalized log-determinant divergence Pradeep Ravikumar Martin J. Wainwright Garvesh Raskutti Bin Yu 205 874 0 21 Nov 2008
Sparsistency and rates of convergence in large covariance matrix estimation Clifford Lam Jianqing Fan 177 608 0 26 Nov 2007