Bayesian Estimation for the Multivariate Hypergeometric Distribution Incorporating Information from Aggregated Observations
Statistics Theory
2023-11-08 v2 Statistics Theory
Abstract
In this short note, we consider the problem of estimating multivariate hypergeometric parameters under squared error loss when side information in aggregated data is available. We use the symmetric multinomial prior to obtain Bayes estimators. It is shown that by incorporating the side information, we can construct an improved estimator.
Cite
@article{arxiv.2208.10975,
title = {Bayesian Estimation for the Multivariate Hypergeometric Distribution Incorporating Information from Aggregated Observations},
author = {Yasuyuki Hamura},
journal= {arXiv preprint arXiv:2208.10975},
year = {2023}
}
Comments
7 pages