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Cited article:

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

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Electronic Journal of Statistics 16 (2) (2022)
https://doi.org/10.1214/22-EJS2057

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

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The Annals of Statistics 48 (2) (2020)
https://doi.org/10.1214/19-AOS1817

Nonparametric finite translation hidden Markov models and extensions

Elisabeth Gassiat and Judith Rousseau
Bernoulli 22 (1) (2016)
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Clustering and variable selection for categorical multivariate data

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Electronic Journal of Statistics 7 (none) (2013)
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Data-driven penalty calibration: A case study for Gaussian mixture model selection

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ESAIM: Probability and Statistics 15 320 (2011)
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Oil production: A probabilistic model of the Hubbert curve

Bertrand Michel
Applied Stochastic Models in Business and Industry 27 (4) 434 (2011)
https://doi.org/10.1002/asmb.851