Joint rank and variable selection for parsimonious estimation in a
high-dimensional finite mixture regression model

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Joint rank and variable selection for parsimonious estimation in a high-dimensional finite mixture regression model

Journal of Multivariate Analysis (JMA), 2015

2 January 2015

Emilie Devijver

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Papers citing "Joint rank and variable selection for parsimonious estimation in a high-dimensional finite mixture regression model"

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Non-asymptotic model selection in block-diagonal mixture of polynomial experts models TrungTin Nguyen Faicel Chamroukhi Hien Nguyen F. Forbes 212 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
Non-asymptotic oracle inequalities for the Lasso in high-dimensional mixture of experts TrungTin Nguyen Hien Nguyen Faicel Chamroukhi Geoffrey J. McLachlan 497 4 0 22 Sep 2020
Model-based regression clustering for high-dimensional data. Application to functional dataAdvances in Data Analysis and Classification (ADAC), 2014 Emilie Devijver 234 20 0 04 Sep 2014