Abstract
A dynamic Poisson model is used with a Bayesian approach to modeling to predict cancer mortality. The complexity of the posterior distribution prohibits direct evaluation of the posterior, and so parameters are estimated by using a Markov Chain Monte Carlo method. The model is applied to analyze lung and stomach cancer data which have been collected in Japan.
DOI
10.22237/jmasm/1225513260
Included in
Applied Statistics Commons, Social and Behavioral Sciences Commons, Statistical Theory Commons
