Estimation of Poisson-Dirichlet parameters with monotone missing data
type: Item
instance of: scholarly article
title: Estimation of Poisson-Dirichlet parameters with monotone missing data
zbMATH Open document ID: 1426.62099
DOI: 10.1155/2017/7892507
author: Xueqin Zhou
author: Jinlong Huang
author: Xianyi Wu
published in: Mathematical Problems in Engineering
publication date: 2018-11-05T00:00:00Z
review text: 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.
Mathematics Subject Classification ID: 62F15
Mathematics Subject Classification ID: 62G05
zbMATH DE Number: 6972499
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1155/2017/7892507
OpenAlex ID: W2763807652
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description: scientific article; zbMATH DE number 6972499