On Bayesian Models and Consistency

on some bayesian statistical models in actuarial science with emphasis on claim count

چکیده ندارد.

Consistency of Bayesian nonparametric Hidden Markov Models

We are interested in Bayesian nonparametric Hidden Markov Models. More precisely, we are going to prove the consistency of these models under appropriate conditions on the prior distribution and when the number of states of the Markov Chain is finite and known. Our approach is based on exponential forgetting and usual Bayesian consistency techniques.

On Consistency of Approximate Bayesian Computation∗

Approximate Bayesian computation (ABC) methods have become increasingly prevalent of late, facilitating as they do the analysis of intractable, or challenging, statistical problems. With the initial focus being primarily on the practical import of ABC, exploration of its formal statistical properties has begun to attract more attention. The aim of this paper is to establish general conditions u...

Consistency issues in Bayesian

Mental models and consistency