We extend Doob's well-known result on Bayesian consistency The extension covers the case where the nonparametric prior is fully supported by densities. However, our use of martingales differs from that of Doob. We also consider rates
The past decade has seen a remarkable development in the area of Bayesian nonparametric inference fr...
The past decade has seen a remarkable development in the area of Bayesian nonparametric inference fr...
The past decade has seen a remarkable development in the area of Bayesian nonparametric inference fr...
We extend Doob's well-known result on Bayesian consistency. The extension covers the case where the ...
We extend Doob’s well-known result on Bayesian consistency. The extension covers the case where the ...
We extend Doob's well-known result on Bayesian consistency. The extension covers the case where the ...
This paper contributes to the theory of Bayesian consistency for a sequence of posterior and predict...
In this paper, we provide a Doob-style consistency theorem for stationary models. Many applications ...
In this paper, we provide a Doob-style consistency theorem for stationary models. Many applications ...
Bayesian consistency is an important issue in the context of non- parametric problems. The posterior...
In this paper we discuss consistency of the posterior distribution in cases where the Kullback-Leibl...
International audienceAbstract In this paper we discuss consistency of the posterior distribution in...
International audienceAbstract In this paper we discuss consistency of the posterior distribution in...
International audienceAbstract In this paper we discuss consistency of the posterior distribution in...
International audienceAbstract In this paper we discuss consistency of the posterior distribution in...
The past decade has seen a remarkable development in the area of Bayesian nonparametric inference fr...
The past decade has seen a remarkable development in the area of Bayesian nonparametric inference fr...
The past decade has seen a remarkable development in the area of Bayesian nonparametric inference fr...
We extend Doob's well-known result on Bayesian consistency. The extension covers the case where the ...
We extend Doob’s well-known result on Bayesian consistency. The extension covers the case where the ...
We extend Doob's well-known result on Bayesian consistency. The extension covers the case where the ...
This paper contributes to the theory of Bayesian consistency for a sequence of posterior and predict...
In this paper, we provide a Doob-style consistency theorem for stationary models. Many applications ...
In this paper, we provide a Doob-style consistency theorem for stationary models. Many applications ...
Bayesian consistency is an important issue in the context of non- parametric problems. The posterior...
In this paper we discuss consistency of the posterior distribution in cases where the Kullback-Leibl...
International audienceAbstract In this paper we discuss consistency of the posterior distribution in...
International audienceAbstract In this paper we discuss consistency of the posterior distribution in...
International audienceAbstract In this paper we discuss consistency of the posterior distribution in...
International audienceAbstract In this paper we discuss consistency of the posterior distribution in...
The past decade has seen a remarkable development in the area of Bayesian nonparametric inference fr...
The past decade has seen a remarkable development in the area of Bayesian nonparametric inference fr...
The past decade has seen a remarkable development in the area of Bayesian nonparametric inference fr...
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