Accession Number:

ADA170039

Title:

A Note on Bayes Empirical Bayes Estimation by Means of Dirichlet Processes.

Descriptive Note:

Research rept. Jul 84-Sep 85,

Corporate Author:

STATE UNIV OF NEW YORK AT STONY BROOK DEPT OF APPLIED MATHEMATICS AND STATISTICS

Personal Author(s):

Report Date:

1985-09-23

Pagination or Media Count:

21.0

Abstract:

Bayes estimators are derived by means of the Dirichlet process hyperprior approach for general empirical Bayes problems. For any sample size, these estimators are expressed concisely as ratios of two multidimensional integrals. A numerical example on Poisson sampling is given. Keywords Bayesian nonparametric density method compound Poisson distribution. Author

Subject Categories:

  • Statistics and Probability

Distribution Statement:

APPROVED FOR PUBLIC RELEASE