In this paper, we obtain explicit form of the posterior moments and characteristic functional for normalized random measures with independent increments (NRMIs) in terms of their associated Levy intensities, which is a class of Bayesian nonparametric priors that have been studied widely in the literature. These results are applied to solve the posterior consistency problem, the results of which are illustrated with examples.Comment: Main paper has 10 pages, the proofs are included in the Appendi
We provide a survey on some distributional results concerning means of random probability measure c...
We provide a survey on some distributional results concerning means of random probability measure c...
Increasing additive processes (IAP), i.e. processes with positive independent increments, represent ...
One of the main research areas in Bayesian Nonparametrics is the proposal and study of priors which ...
One of the main research areas in Bayesian Nonparametrics is the proposal and study of priors which ...
One of the main research areas in Bayesian Nonparametrics is the proposal and study of priors which ...
One of the main research areas in Bayesian Nonparametrics is the proposal and study of priors which ...
Recently the class of normalized random measures with independent increments has been introduced. Su...
The study of properties of mean functionals of random probability measures is an important area of r...
The study of properties of mean functionals of random probability measures is an important area of r...
The study of properties of mean functionals of random probability measures is an important area of r...
This paper contributes to the theory of Bayesian consistency for a sequence of posterior and predict...
We consider the problem of determining the distribution of means of random probability measures whic...
This paper introduces and studies a new class of nonparametric prior distributions. Random probabili...
Posterior consistency can be thought of as a theoretical justification of the Bayesian method. One o...
We provide a survey on some distributional results concerning means of random probability measure c...
We provide a survey on some distributional results concerning means of random probability measure c...
Increasing additive processes (IAP), i.e. processes with positive independent increments, represent ...
One of the main research areas in Bayesian Nonparametrics is the proposal and study of priors which ...
One of the main research areas in Bayesian Nonparametrics is the proposal and study of priors which ...
One of the main research areas in Bayesian Nonparametrics is the proposal and study of priors which ...
One of the main research areas in Bayesian Nonparametrics is the proposal and study of priors which ...
Recently the class of normalized random measures with independent increments has been introduced. Su...
The study of properties of mean functionals of random probability measures is an important area of r...
The study of properties of mean functionals of random probability measures is an important area of r...
The study of properties of mean functionals of random probability measures is an important area of r...
This paper contributes to the theory of Bayesian consistency for a sequence of posterior and predict...
We consider the problem of determining the distribution of means of random probability measures whic...
This paper introduces and studies a new class of nonparametric prior distributions. Random probabili...
Posterior consistency can be thought of as a theoretical justification of the Bayesian method. One o...
We provide a survey on some distributional results concerning means of random probability measure c...
We provide a survey on some distributional results concerning means of random probability measure c...
Increasing additive processes (IAP), i.e. processes with positive independent increments, represent ...