Deprecated: $wgMWOAuthSharedUserIDs=false is deprecated, set $wgMWOAuthSharedUserIDs=true, $wgMWOAuthSharedUserSource='local' instead [Called from MediaWiki\HookContainer\HookContainer::run in /var/www/html/w/includes/HookContainer/HookContainer.php at line 135] in /var/www/html/w/includes/Debug/MWDebug.php on line 372
A non asymptotic penalized criterion for Gaussian mixture model selection - MaRDI portal

A non asymptotic penalized criterion for Gaussian mixture model selection

From MaRDI portal
Publication:4918481

DOI10.1051/ps/2009004zbMath1395.62162OpenAlexW2030361786MaRDI QIDQ4918481

Bertrand Michel, Cathy Maugis

Publication date: 25 April 2013

Published in: ESAIM: Probability and Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1051/ps/2009004




Related Items (19)

Some theoretical results regarding the polygonal distributionSupermix: sparse regularization for mixturesInference in finite state space non parametric hidden Markov models and applicationsJoint rank and variable selection for parsimonious estimation in a high-dimensional finite mixture regression modelClustering and variable selection for categorical multivariate dataParameter recovery in two-component contamination mixtures: the \(L^2\) strategyOptimal estimation of high-dimensional Gaussian location mixturesOn the nonparametric maximum likelihood estimator for Gaussian location mixture densities with application to Gaussian denoisingOptimal estimation and computational limit of low-rank Gaussian mixturesAdaptive Bayesian density estimation with location-scale mixturesEstimating composite functions by model selectionBayesian methods for the shape invariant modelMixture of Gaussian regressions model with logistic weights, a penalized maximum likelihood approachThe local geometry of finite mixturesBlock-Diagonal Covariance Selection for High-Dimensional Gaussian Graphical ModelsComments on: \(\ell_{1}\)-penalization for mixture regression modelsA non-asymptotic approach for model selection via penalization in high-dimensional mixture of experts modelsEstimation and model selection for model-based clustering with the conditional classification likelihoodMixtures of stochastic differential equations with random effects: application to data clustering


Uses Software



This page was built for publication: A non asymptotic penalized criterion for Gaussian mixture model selection