Research on Bayesian nonparametric methods has received a growing interest for the past twenty years, especially since the development of powerful simulation algorithms which makes the implementation of complex Bayesian methods possible. From that point it is necessary to understand from a theoretical point of view the behaviour of Bayesian nonparametric methods. This thesis presents various contributions to the study of frequentist properties of Bayesian nonparametric procedures. Although studying these methods from an asymptotic angle may seems restrictive, it allows to grasp the operation of the Bayesian machinery in extremely complex models. Furthermore, this approach is particularly useful to detect the characteristics of the prior tha...
The use of Bayesian nonparametrics models has increased rapidly over the last few decades driven by ...
Starting from the first inception of philosophical research that had subsequently led to subjective ...
Starting from the first inception of philosophical research that had subsequently led to subjective ...
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...
La recherche sur les méthodes bayésiennes non-paramétriques connaît un essor considérable depuis les...
La thèse est divisée en deux parties portant sur deux aspects relativement différents des approches ...
In this paper, we review some recent results obtained in the context of Bayesian non and s...
Nonparametric Bayesian inference has widespread applications in statistics and machine learning. In ...
This thesis is divided in two parts on rather different aspects of Bayesian statistics. In the first...
A key problem in statistical modeling is model selection, how to choose a model at an appropriate le...
Bayesian nonparametric inference is a relatively young area of research and it has recently undergon...
We study the Bayesian approach to nonparametric function estimation problems such as nonparametric r...
The definition of vectors of dependent random probability measures is a topic of interest in Bayesi...
A key problem in statistical modeling is model selection, that is, how to choose a model at an appro...
The use of Bayesian nonparametrics models has increased rapidly over the last few decades driven by ...
Starting from the first inception of philosophical research that had subsequently led to subjective ...
Starting from the first inception of philosophical research that had subsequently led to subjective ...
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...
La recherche sur les méthodes bayésiennes non-paramétriques connaît un essor considérable depuis les...
La thèse est divisée en deux parties portant sur deux aspects relativement différents des approches ...
In this paper, we review some recent results obtained in the context of Bayesian non and s...
Nonparametric Bayesian inference has widespread applications in statistics and machine learning. In ...
This thesis is divided in two parts on rather different aspects of Bayesian statistics. In the first...
A key problem in statistical modeling is model selection, how to choose a model at an appropriate le...
Bayesian nonparametric inference is a relatively young area of research and it has recently undergon...
We study the Bayesian approach to nonparametric function estimation problems such as nonparametric r...
The definition of vectors of dependent random probability measures is a topic of interest in Bayesi...
A key problem in statistical modeling is model selection, that is, how to choose a model at an appro...
The use of Bayesian nonparametrics models has increased rapidly over the last few decades driven by ...
Starting from the first inception of philosophical research that had subsequently led to subjective ...
Starting from the first inception of philosophical research that had subsequently led to subjective ...