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:

Adaptive density estimation for clustering with Gaussian mixtures

C. Maugis-Rabusseau, B. Michel

ESAIM: PS, 17 (2013) 698-724

Published online: 2013-11-04

DOI: https://doi.org/10.1051/ps/2012018

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

Efficient Bayesian estimation and use of cut posterior in semiparametric hidden Markov models

Daniel Moss and Judith Rousseau
Electronic Journal of Statistics 18 (1) (2024)
https://doi.org/10.1214/23-EJS2201

Enhanced branch-and-bound algorithm for chance constrained programs with Gaussian mixture models

Jinxiang Wei, Zhaolin Hu, Jun Luo and Shushang Zhu
Annals of Operations Research 338 (2-3) 1283 (2024)
https://doi.org/10.1007/s10479-024-05947-0

Robust estimation in finite mixture models

Alexandre Lecestre
ESAIM: Probability and Statistics 27 402 (2023)
https://doi.org/10.1051/ps/2023004

Chance constrained programs with Gaussian mixture models

Zhaolin Hu, Wenjie Sun and Shushang Zhu
IISE Transactions 54 (12) 1117 (2022)
https://doi.org/10.1080/24725854.2021.2001608

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)
https://doi.org/10.1214/22-EJS2057

Nonasymptotic control of the MLE for misspecified nonparametric hidden Markov models

Luc Lehéricy
Electronic Journal of Statistics 15 (2) (2021)
https://doi.org/10.1214/21-EJS1890

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)
https://doi.org/10.1214/19-AOS1817

Convergence rates of variational posterior distributions

Fengshuo Zhang and Chao Gao
The Annals of Statistics 48 (4) (2020)
https://doi.org/10.1214/19-AOS1883

Parameter recovery in two-component contamination mixtures: The $L^{2}$ strategy

Sébastien Gadat, Jonas Kahn, Clément Marteau and Cathy Maugis-Rabusseau
Annales de l'Institut Henri Poincaré, Probabilités et Statistiques 56 (2) (2020)
https://doi.org/10.1214/19-AIHP1007

Sparse oracle inequalities for variable selection via regularized quantization

Clément Levrard
Bernoulli 24 (1) (2018)
https://doi.org/10.3150/16-BEJ876

Adaptive density estimation based on a mixture of Gammas

Natalia Bochkina and Judith Rousseau
Electronic Journal of Statistics 11 (1) (2017)
https://doi.org/10.1214/17-EJS1247

Nonparametric finite translation hidden Markov models and extensions

Elisabeth Gassiat and Judith Rousseau
Bernoulli 22 (1) (2016)
https://doi.org/10.3150/14-BEJ631

Adaptive Bayesian Density Estimation in Lp-metrics with Pitman-Yor or Normalized Inverse-Gaussian Process Kernel Mixtures

Catia Scricciolo
Bayesian Analysis 9 (2) (2014)
https://doi.org/10.1214/14-BA863