Article references

Articles citing this article

The Citing articles tool gives a list of articles citing the current article.
The citing articles come from EDP Sciences database, as well as other publishers participating in CrossRef Cited-by Linking Program. You can set up your personal account to receive an email alert each time this article is cited by a new article (see the menu on the right-hand side of the abstract page).

Cited article:

Data-driven penalty calibration: A case study for Gaussian mixture model selection

Cathy Maugis, Bertrand Michel

ESAIM: PS, 15 (2011) 320-339

Published online: 2012-01-05

DOI: https://doi.org/10.1051/ps/2010002

This article has been cited by the following article(s):

Stable and visualizable Gaussian parsimonious clustering models

Christophe Biernacki and Alexandre Lourme
Statistics and Computing 24 (6) 953 (2014)
DOI: 10.1007/s11222-013-9413-5
See this article

Data-driven penalty calibration: A case study for Gaussian mixture model selection

Cathy Maugis and Bertrand Michel
ESAIM: Probability and Statistics 15 320 (2011)
DOI: 10.1051/ps/2010002
See this article

Model Selection for Simplicial Approximation

Claire Caillerie and Bertrand Michel
Foundations of Computational Mathematics 11 (6) 707 (2011)
DOI: 10.1007/s10208-011-9103-7
See this article

On the nonparametric maximum likelihood estimator for Gaussian location mixture densities with application to Gaussian denoising

Sujayam Saha and Adityanand Guntuboyina
The Annals of Statistics 48 (2) (2020)
DOI: 10.1214/19-AOS1817
See this article

Oil production: A probabilistic model of the Hubbert curve

Bertrand Michel
Applied Stochastic Models in Business and Industry 27 (4) 434 (2011)
DOI: 10.1002/asmb.851
See this article

Comments on: l 1-penalization for mixture regression models

Eustasio del Barrio
TEST 19 (2) 276 (2010)
DOI: 10.1007/s11749-010-0202-6
See this article

Nonparametric finite translation hidden Markov models and extensions

Elisabeth Gassiat and Judith Rousseau
Bernoulli 22 (1) (2016)
DOI: 10.3150/14-BEJ631
See this article

Clustering and variable selection for categorical multivariate data

Dominique Bontemps and Wilson Toussile
Electronic Journal of Statistics 7 (none) (2013)
DOI: 10.1214/13-EJS844
See this article

Dealing with overdispersion in multivariate count data

Noemi Corsini and Cinzia Viroli
Computational Statistics & Data Analysis 170 107447 (2022)
DOI: 10.1016/j.csda.2022.107447
See this article

A non-asymptotic approach for model selection via penalization in high-dimensional mixture of experts models

TrungTin Nguyen, Hien Duy Nguyen, Faicel Chamroukhi and Florence Forbes
Electronic Journal of Statistics 16 (2) (2022)
DOI: 10.1214/22-EJS2057
See this article