In this paper, we review some recent results obtained in the context of Bayesian non and semiparametric models in terms of posterior concentration, Bernstein-von Mises theorems and tests. Then two specific cases are studied in more details. The first concerns tests for monotonicity and the second some asymptotic properties of empirical Bayes procedures. Resume. Cet article est un article de revue et presente un certain nombre de resultats recents sur les propriete frequentistes de procedures bayesiennes non et semiparametriques. Nous donnons notamment des conditions permettant d'obtenir un theoreme de Bernstein - von Mises pour des fonctionnelles de la densite, des resultats sur la consistance de la loi a posteriori lorsque la loi a priori ...
This thesis is divided in two parts on rather different aspects of Bayesian statistics. In the first...
In this paper, we investigate the asymptotic properties of nonparametric Bayesian mixtures of Betas ...
In this work we investigate the asymptotic properties of nonparametric bayesian mixtures of Betas fo...
Cet article est un article de revue et présente un certain nombre de résultats récents sur les propr...
This dissertation focuses on the frequentist properties of Bayesian procedures in a broad spectrum o...
We review the Bayesian theory of semiparametric inference following Bickel and Kleijn (2012) [5] and...
We study the Bayesian approach to nonparametric function estimation problems such as nonparametric r...
Research on Bayesian nonparametric methods has received a growing interest for the past twenty years...
Research on Bayesian nonparametric methods has received a growing interest for the past twenty years...
© Institute of Mathematical Statistics, 2014. We study the asymptotic behaviour of the posterior dis...
In a smooth semiparametric estimation problem, the marginal posterior for the parameter of interest ...
La recherche sur les méthodes bayésiennes non-paramétriques connaît un essor considérable depuis les...
This manuscript presents a synthesis of my research work over the last few years. It discusses my co...
La thèse est divisée en deux parties portant sur deux aspects relativement différents des approches ...
Asymptotics plays a crucial role in statistics. The theory of asymptotic consistency of Bayesian non...
This thesis is divided in two parts on rather different aspects of Bayesian statistics. In the first...
In this paper, we investigate the asymptotic properties of nonparametric Bayesian mixtures of Betas ...
In this work we investigate the asymptotic properties of nonparametric bayesian mixtures of Betas fo...
Cet article est un article de revue et présente un certain nombre de résultats récents sur les propr...
This dissertation focuses on the frequentist properties of Bayesian procedures in a broad spectrum o...
We review the Bayesian theory of semiparametric inference following Bickel and Kleijn (2012) [5] and...
We study the Bayesian approach to nonparametric function estimation problems such as nonparametric r...
Research on Bayesian nonparametric methods has received a growing interest for the past twenty years...
Research on Bayesian nonparametric methods has received a growing interest for the past twenty years...
© Institute of Mathematical Statistics, 2014. We study the asymptotic behaviour of the posterior dis...
In a smooth semiparametric estimation problem, the marginal posterior for the parameter of interest ...
La recherche sur les méthodes bayésiennes non-paramétriques connaît un essor considérable depuis les...
This manuscript presents a synthesis of my research work over the last few years. It discusses my co...
La thèse est divisée en deux parties portant sur deux aspects relativement différents des approches ...
Asymptotics plays a crucial role in statistics. The theory of asymptotic consistency of Bayesian non...
This thesis is divided in two parts on rather different aspects of Bayesian statistics. In the first...
In this paper, we investigate the asymptotic properties of nonparametric Bayesian mixtures of Betas ...
In this work we investigate the asymptotic properties of nonparametric bayesian mixtures of Betas fo...