Estimation of Poisson-Dirichlet parameters with monotone missing data
Summary: 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.
scientific article; zbMATH DE number 6972499
scientific article