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pro vyhledávání: '"Vernet Elodie"'
We state and prove a quantitative version of the bounded difference inequality for geometrically ergodic Markov chains. Our proof uses the same martingale decomposition as \cite{MR3407208} but, compared to this paper, the exact coupling argument is m
Externí odkaz:
http://arxiv.org/abs/1907.02809
This paper deals with the estimation of the unknown distribution of hidden random variables from the observation of pairwise comparisons between these variables. This problem is inspired by recent developments on Bradley-Terry models in random enviro
Externí odkaz:
http://arxiv.org/abs/1808.08104
In this paper, we consider nonparametric multidimensional finite mixture models and we are interested in the semiparametric estimation of the population weights. Here, the i.i.d. observations are assumed to have at least three components which are in
Externí odkaz:
http://arxiv.org/abs/1607.05430
Autor:
Vernet, Elodie
The use of non parametric hidden Markov models with finite state space is flourishing in practice while few theoretical guarantees are known in this framework. Here, we study asymptotic guarantees for these models in the Bayesian framework. We obtain
Externí odkaz:
http://arxiv.org/abs/1511.08624
Autor:
Vernet, Elodie
In this paper we study posterior consistency for different topologies on the parameters for hidden Markov models with finite state space. We first obtain weak and strong posterior consistency for the marginal density function of finitely many consecu
Externí odkaz:
http://arxiv.org/abs/1311.3092
Publikováno v:
ESAIM: Proceedings and Surveys, Vol 51, Pp 293-319 (2015)
This paper proposes to review some recent developments in Bayesian statistics for high dimensional data. After giving some brief motivations in a short introduction, we describe new advances in the understanding of Bayes posterior computation as we
Externí odkaz:
https://doaj.org/article/c720e91071314caca5a606734e839baa
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This paper deals with the estimation of the unknown distribution of hidden random variables from the observation of pairwise comparisons between these variables. This problem is inspired by recent developments on Bradley-Terry models in random enviro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ff675f117eefb181482fc57af1e5d6b9
Akademický článek
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Autor:
Vernet, Elodie, Edith
Les modèles latents sont très utilisés en pratique, comme en génomique, économétrie, reconnaissance de parole... Comme la modélisation paramétrique des densités d’émission, c’est-à-dire les lois d’une observation sachant l’état la
Externí odkaz:
http://www.theses.fr/2016SACLS418/document