State-by-state Minimax Adaptive Estimation for Nonparametric Hidden
Markov Models

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State-by-state Minimax Adaptive Estimation for Nonparametric Hidden Markov Models

26 June 2017

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Papers citing "State-by-state Minimax Adaptive Estimation for Nonparametric Hidden Markov Models"

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Title
Efficient semiparametric estimation and model selection for multidimensional mixtures Elisabeth Gassiat Judith Rousseau E. Vernet 81 10 0 19 Jul 2016
Estimator selection: a new method with applications to kernel density estimation C. Lacour P. Massart Vincent Rivoirard 67 57 0 18 Jul 2016
Estimating multivariate latent-structure models S. Bonhomme Koen Jochmans J. Robin 36 50 0 30 Mar 2016
Consistent estimation of the filtering and marginal smoothing distributions in nonparametric hidden Markov models Yohann De Castro Elisabeth Gassiat Sylvain Le Corff 47 32 0 23 Jul 2015
Minimax adaptive estimation of nonparametric hidden Markov models Yohann De Castro Elisabeth Gassiat C. Lacour 59 32 0 20 Jan 2015
On adaptive minimax density estimation on $R^d$ A. Goldenshluger O. Lepski 120 109 0 05 Oct 2012
A Method of Moments for Mixture Models and Hidden Markov Models Anima Anandkumar Daniel J. Hsu Sham Kakade 201 344 0 03 Mar 2012
Bandwidth selection in kernel density estimation: Oracle inequalities and adaptive minimax optimality A. Goldenshluger O. Lepski 393 245 0 06 Sep 2010
A survey of cross-validation procedures for model selection Sylvain Arlot Alain Celisse 216 3,598 0 27 Jul 2009