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Forgetting of the initial distribution for non-ergodic Hidden Markov Chains
Elisabeth Gassiat
,
Benoit Landelle
,
Eric Moulines
2008
Pré-publication, Document de travail
hal-00329515v1
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Disentangling identifiable features from noisy data with structured nonlinear ICA
Hermanni Hälvä
,
Sylvain Le Corff
,
Luc Lehéricy
,
Jonathan So
,
Yongjie Zhu
,
et al.
Advances in Neural Information Processing Systems (NeurIPS), 34, 2021
Proceedings/Recueil des communications
hal-03301596v1
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Improving heritability estimation by a variable selection approach in sparse high dimensional linear mixed models
Anna Bonnet
,
Céline Lévy-Leduc
,
Elisabeth Gassiat
,
Roberto Toro
,
Thomas Bourgeron
Journal of the Royal Statistical Society: Series C Applied Statistics, 2018, 67 (4), pp.813-839. ⟨10.1111/rssc.12261⟩
Article dans une revue
hal-01707553v1
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Identifiability and consistent estimation of nonparametric translation hidden Markov models with general state space
Elisabeth Gassiat
,
Sylvain Le Corff
,
Luc Lehéricy
Journal of Machine Learning Research, 2020, 21 (115), pp.1-40
Article dans une revue
hal-02004041v4
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Non parametric finite translation mixtures with dependent regime
Elisabeth Gassiat
,
Judith Rousseau
2013
Pré-publication, Document de travail
hal-00786750v1
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Joint estimation of intersecting context tree models
Antonio Galves
,
Aurélien Garivier
,
Elisabeth Gassiat
Scandinavian Journal of Statistics, 2012, pp.early view
Article dans une revue
hal-00738202v1
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Minimax adaptive estimation of nonparametric hidden Markov models
Yohann de Castro
,
Élisabeth Gassiat
,
Claire Lacour
Journal of Machine Learning Research, 2016
Article dans une revue
hal-01105424v3
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About adaptive coding on countable alphabets
Dominique Bontemps
,
Stéphane Boucheron
,
Elisabeth Gassiat
Article dans une revue
hal-00665033v2
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Joint self-supervised blind denoising and noise estimation
Jean Ollion
,
Charles Ollion
,
Elisabeth Gassiat
,
Luc Lehéricy
,
Sylvain Le Corff
2021
Pré-publication, Document de travail
hal-03140686v1
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Nonparametric finite translation hidden Markov models and extensions
Elisabeth Gassiat
,
Judith Rousseau
Article dans une revue
hal-01432679v1
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Fundamental limits for learning hidden Markov model parameters
Kweku Abraham
,
Elisabeth Gassiat
,
Zacharie Naulet
2021
Pré-publication, Document de travail
hal-03301592v1
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Coding on countably infinite alphabets
Stéphane Boucheron
,
Aurélien Garivier
,
Elisabeth Gassiat
IEEE Transactions on Information Theory, 2009, 55 (1), pp.358-373
Article dans une revue
hal-00121892v2
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Semiparametric regression estimation using noisy nonlinear non invertible functions of the observations
Elisabeth Gassiat
,
Benoit Landelle
2008
Pré-publication, Document de travail
hal-00347371v1
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Transmission probabilities of HIV and herpes simplex virus type 2, effect of male circumcision and interaction: a longitudinal study in a township of South Africa.
Séverin-Guy Mahiane
,
Camille Legeai
,
Dirk Taljaard
,
Aurélien Latouche
,
Adrian Puren
,
et al.
AIDS. Official journal of the international AIDS Society, 2009, 23 (3), pp.377-383
Article dans une revue
inserm-00371763v1
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Deconvolution of spherical data corrupted with unknown noise.
Jérémie Capitao-Miniconi
,
Élisabeth Gassiat
Article dans une revue
hal-03584579v2
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Deconvolution with unknown noise distribution is possible for multivariate signals
Élisabeth Gassiat
,
Sylvain Le Corff
,
Luc Lehéricy
Article dans une revue
hal-02880330v2
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Support and distribution inference from noisy data
Jeremie Capitao-Miniconi
,
Élisabeth Gassiat
,
Luc Lehéricy
2023
Pré-publication, Document de travail
hal-04073724v1
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Heritability estimation in high dimensional sparse linear mixed models
Anna Bonnet
,
Elisabeth Gassiat
,
Céline Levy Leduc
Article dans une revue
hal-01540984v1
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Forgetting of the initial distribution for nonergodic Hidden Markov Chains
Randal Douc
,
Elisabeth Gassiat-Granier
,
Benoit Landelle
,
Éric Moulines
The Annals of Applied Probability, 2010, 20 (5), pp.1638 - 1662
Article dans une revue
hal-01354770v1
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Adaptive estimation of high-dimensional signal-to-noise ratios
Nicolas Verzelen
,
Elisabeth Gassiat
Article dans une revue
hal-02622458v1
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Déconvolution aveugle
Élisabeth Gassiat
Mathématiques [math]. Université Paris-Sud, 1988. Français. ⟨NNT : ⟩
Thèse
tel-04163038v1
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About Adaptive Coding on Countable Alphabets: Max-Stable Envelope Classes
Boucheron Stephane
,
Elisabeth Gassiat
,
Mesrob Ohannessian
2014
Pré-publication, Document de travail
hal-00952361v1
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On the asymptotic behaviour of the posterior distribution in hidden Markov Models with unknown number of states
Elisabeth Gassiat
,
Judith Rousseau
Bernoulli, 2014, pp.20 (4), 2014, 2039-2075
Article dans une revue
hal-00671563v2
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Multinomial Logistic Model for Coinfection Diagnosis Between Arbovirus and Malaria in Kedougou
Mor Absa Loum
,
Marie-Anne Poursat
,
Abdourahmane Sow
,
Amadou Alpha Sall
,
Cheikh Loucoubar
,
et al.
Article dans une revue
hal-02399409v1
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Multinomial logistic model for coinfection diagnosis between arbovirus and malaria in Kedougou
Mor Absa Loum
,
Marie-Anne Poursat
,
Abdourahmane Sow
,
Amadou Alpha Sall
,
Cheikh Loucoubar
,
et al.
2019
Pré-publication, Document de travail
hal-01675617v2
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Pathwise fluctuations of likelihood ratios and consistent order estimation
Elisabeth Gassiat
,
Ramon van Handel
2011
Pré-publication, Document de travail
hal-00453469v2
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Consistent estimation of the filtering and marginal smoothing distributions in nonparametric hidden Markov models
Yohann de Castro
,
Elisabeth Gassiat
,
Sylvain Le Corff
IEEE Transactions on Information Theory, 2017, 63 (8), pp.4758 -- 47777
Article dans une revue
hal-01183770v3
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Multiple Testing in Nonparametric Hidden Markov Models: An Empirical Bayes Approach
Kweku Abraham
,
Ismael Castillo
,
Élisabeth Gassiat
Journal of Machine Learning Research, 2022
Article dans une revue
hal-03888310v1
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Variational excess risk bound for general state space models
Élisabeth Gassiat
,
Sylvain Le Corff
2023
Pré-publication, Document de travail
hal-04344697v1
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The van Trees inequality in the spirit of Hajek and Le Cam
Élisabeth Gassiat
,
Gilles Stoltz
2024
Pré-publication, Document de travail
hal-04452222v1
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