Block-diagonal covariance selection for high-dimensional Gaussian
graphical models

v1v2v3 (latest)

Block-diagonal covariance selection for high-dimensional Gaussian graphical models

12 November 2015

Emilie Devijver

ArXiv (abs)PDF HTML

Papers citing "Block-diagonal covariance selection for high-dimensional Gaussian graphical models"

13 / 13 papers shown

Title
Stable network inference in high-dimensional graphical model using single-linkage Emilie Devijver Rémi Molinier M. Gallopin 149 0 0 14 Jun 2024
High-Dimensional Block Diagonal Covariance Structure Detection Using Singular Vectors J. O. Bauer 117 3 0 29 Nov 2022
ISDE : Independence Structure Density Estimation L. Pujol 168 1 0 18 Mar 2022
Inference of Multiscale Gaussian Graphical Model Do Edmond Sanou Christophe Ambroise Geneviève Robin 213 1 0 11 Feb 2022
The folded concave Laplacian spectral penalty learns block diagonal sparsity patterns with the strong oracle property Iain Carmichael 216 2 0 07 Jul 2021
Non-asymptotic model selection in block-diagonal mixture of polynomial experts models TrungTin Nguyen Faicel Chamroukhi Hien Nguyen F. Forbes 192 10 0 18 Apr 2021
A non-asymptotic approach for model selection via penalization in high-dimensional mixture of experts modelsElectronic Journal of Statistics (EJS), 2021 TrungTin Nguyen Hien Nguyen Faicel Chamroukhi F. Forbes 322 15 0 06 Apr 2021
Block-diagonal covariance estimation and application to the Shapley effects in sensitivity analysis Baptiste Broto François Bachoc Laura Clouvel Jean-Marc Martinez 112 7 0 30 Jul 2019
Learning Gaussian Graphical Models with Ordered Weighted L1 RegularizationIEEE Transactions on Signal Processing (IEEE Trans. Signal Process.), 2019 Cody Mazza-Anthony Bogdan Mazoure Mark Coates 207 4 0 06 Jun 2019
Robust Bayesian Model Selection for Variable Clustering with the Gaussian Graphical Model Daniel Andrade Akiko Takeda Kenji Fukumizu 131 6 0 15 Jun 2018
Testing for Independence of Large Dimensional VectorsAnnals of Statistics (Ann. Stat.), 2017 Taras Bodnar Holger Dette Nestor Parolya 240 38 0 13 Aug 2017
Nonlinear network-based quantitative trait prediction from transcriptomic data Emilie Devijver M. Gallopin Émeline Perthame 247 9 0 26 Jan 2017
Joint rank and variable selection for parsimonious estimation in a high-dimensional finite mixture regression modelJournal of Multivariate Analysis (JMA), 2015 Emilie Devijver 293 11 0 02 Jan 2015