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Multiple Testing in Nonparametric Hidden Markov Models: An Empirical Bayes Approach

Journal of machine learning research, 2022

2022

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Additive smoothing error in backward variational inference for general state-space models

Journal of machine learning research, 2024, Vol.25 (28)

2024

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Deconvolution with unknown noise distribution is possible for multivariate signals

The Annals of statistics, 2022-02, Vol.50 (1), p.303

2022

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Minimax adaptive estimation of nonparametric hidden Markov models

Journal of machine learning research, 2016-07

2016

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Deconvolution of spherical data corrupted with unknown noise

Electronic journal of statistics, 2023-01, Vol.17 (1)

2023

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Identifiability and consistent estimation of nonparametric translation hidden Markov models with general state space

Journal of machine learning research, 2020-01, Vol.21 (115), p.1-40

2020

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Least squares moment identification of binary regression mixture models

Metrika, 2021-05, Vol.84 (4), p.561-593

2021

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The local geometry of finite mixtures

Transactions of the American Mathematical Society, 2014-02, Vol.366 (2), p.1047-1072

2014

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Adaptive estimation of high-dimensional signal-to-noise ratios

Bernoulli : official journal of the Bernoulli Society for Mathematical Statistics and Probability, 2018-11, Vol.24 (4B), p.3683-3710

2018

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Fundamental Limits for Learning Hidden Markov Model Parameters

IEEE transactions on information theory, 2023-03, Vol.69 (3), p.1777-1794

2023

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Nonparametric finite translation hidden Markov models and extensions

Bernoulli : official journal of the Bernoulli Society for Mathematical Statistics and Probability, 2016-02, Vol.22 (1), p.193-212

2016

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Universal Coding and Order Identification by Model Selection Methods

1st ed. 2018., 2018

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About the posterior distribution in hidden Markov models with unknown number of states

Bernoulli : official journal of the Bernoulli Society for Mathematical Statistics and Probability, 2014-11, Vol.20 (4), p.2039-2075

2014

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Consistent Estimation of the Filtering and Marginal Smoothing Distributions in Nonparametric Hidden Markov Models

IEEE transactions on information theory, 2017-08, Vol.63 (8), p.4758-4777

2017

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The van Trees inequality in the spirit of Hajek and Le Cam

Statistical science, 2024

2024

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The likelihood ratio test for general mixture models with or without structural parameter

Probability and statistics, 2009-07, Vol.13, p.301-327

2009

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Adaptive compression against a countable alphabet

Discrete Mathematics and Theoretical Computer Science, 2012-01, Vol.DMTCS Proceedings vol. AQ,... (Proceedings), p.201-218

2012

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FORGETTING OF THE INITIAL DISTRIBUTION FOR NONERGODIC HIDDEN MARKOV CHAINS

The Annals of applied probability, 2010-10, Vol.20 (5), p.1638-1662

2010

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Efficient semiparametric estimation and model selection for multidimensional mixtures

Electronic journal of statistics, 2018-01, Vol.12 (1), p.703-740

2018

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Asymptotic Distribution and Local Power of the Log-Likelihood Ratio Test for Mixtures: Bounded and Unbounded Cases

Bernoulli : official journal of the Bernoulli Society for Mathematical Statistics and Probability, 2006-10, Vol.12 (5), p.775-799

2006

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On the asymptotic behaviour of the posterior distribution in hidden Markov Models with unknown number of states

Bernoulli : official journal of the Bernoulli Society for Mathematical Statistics and Probability, 2014

2014

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Consistent Order Estimation and Minimal Penalties

IEEE transactions on information theory, 2013-02, Vol.59 (2), p.1115-1128

2013

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About Adaptive Coding on Countable Alphabets

IEEE transactions on information theory, 2014-02, Vol.60 (2), p.808-821

2014

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About Adaptive Coding on Countable Alphabets: Max-Stable Envelope Classes

IEEE transactions on information theory, 2015-09, Vol.61 (9), p.4948-4967

2015

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Improving heritability estimation by a variable selection approach in sparse high dimensional linear mixed models

Journal of the Royal Statistical Society Series C: Applied Statistics, 2018-08, Vol.67 (4), p.813-839

2018

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Multiple Testing in Nonparametric Hidden Markov Models: An Empirical Bayes Approach

Additive smoothing error in backward variational inference for general state-space models

Deconvolution with unknown noise distribution is possible for multivariate signals

Minimax adaptive estimation of nonparametric hidden Markov models

Deconvolution of spherical data corrupted with unknown noise

Identifiability and consistent estimation of nonparametric translation hidden Markov models with general state space

Least squares moment identification of binary regression mixture models

The local geometry of finite mixtures

Adaptive estimation of high-dimensional signal-to-noise ratios

Fundamental Limits for Learning Hidden Markov Model Parameters

Nonparametric finite translation hidden Markov models and extensions

Universal Coding and Order Identification by Model Selection Methods

About the posterior distribution in hidden Markov models with unknown number of states

Consistent Estimation of the Filtering and Marginal Smoothing Distributions in Nonparametric Hidden Markov Models

The van Trees inequality in the spirit of Hajek and Le Cam

The likelihood ratio test for general mixture models with or without structural parameter

Adaptive compression against a countable alphabet

FORGETTING OF THE INITIAL DISTRIBUTION FOR NONERGODIC HIDDEN MARKOV CHAINS

Efficient semiparametric estimation and model selection for multidimensional mixtures

Asymptotic Distribution and Local Power of the Log-Likelihood Ratio Test for Mixtures: Bounded and Unbounded Cases

On the asymptotic behaviour of the posterior distribution in hidden Markov Models with unknown number of states

Consistent Order Estimation and Minimal Penalties

About Adaptive Coding on Countable Alphabets

About Adaptive Coding on Countable Alphabets: Max-Stable Envelope Classes

Improving heritability estimation by a variable selection approach in sparse high dimensional linear mixed models

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