A Note on Consistency of the Bayes Estimator of the Density

10/20/2021
by   A. G. Nogales, et al.
0

Under mild conditions, it is shown the strong consistency of the Bayes estimator of the density. Moreover, the Bayes risk (for some common loss functions) of the Bayes estimator of the density (i.e. the posterior predictive density) reaches zero when the sample size goes to ∞. In passing, a similar result is obtained for the estimation of the sampling distribution.

READ FULL TEXT
research
07/19/2022

Consistency of the Bayes Estimator of a Regression Curve

Strong consistency of the Bayes estimator of a regression curve for the ...
research
06/24/2022

The Bayes Estimator of a Conditional Density: Consistency

In a Bayesian framework we prove that the optimal estimator of a conditi...
research
05/06/2022

Nonparametric estimation of a multivariate density under Kullback-Leibler loss with ISDE

In this paper, we propose a theoretical analysis of the algorithm ISDE, ...
research
11/22/2017

Robust Bayes-Like Estimation: Rho-Bayes estimation

We consider the problem of estimating the joint distribution P of n inde...
research
03/26/2019

Predicting the scoring time in hockey

In this paper, we propose a Bayesian predictive density estimator to pre...
research
07/02/2018

A new decision theoretic sampling plan for type-I and type-I hybrid censored samples from the exponential distribution

The study proposes a new decision theoretic sampling plan (DSP) for Type...
research
07/20/2017

RKL: a general, invariant Bayes solution for Neyman-Scott

Neyman-Scott is a classic example of an estimation problem with a partia...

Please sign up or login with your details

Forgot password? Click here to reset