Estimation of Poisson-Dirichlet Parameters with Monotone Missing Data

Abstract EN

This article considers the estimation of the unknown numerical parameters and the density of the base measure in a Poisson-Dirichlet process prior with grouped monotone missing data.

The numerical parameters are estimated by the method of maximum likelihood estimates and the density function is estimated by kernel method.

A set of simulations was conducted, which shows that the estimates perform well.