Estimation of Poisson-Dirichlet Parameters with Monotone Missing Data

Xueqin Zhou; Jinlong Huang; Xianyi Wu

doi:10.1155/2017/7892507

Estimation of Poisson-Dirichlet Parameters with Monotone Missing Data

Xueqin Zhou, Jinlong Huang, Xianyi Wu

School of Statistics

Research output: Contribution to journal › Article › peer-review

1 Scopus citations

Abstract

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.

Original language	English
Article number	7892507
Journal	Mathematical Problems in Engineering
Volume	2017
DOIs	https://doi.org/10.1155/2017/7892507
State	Published - 2017

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title = "Estimation of Poisson-Dirichlet Parameters with Monotone Missing Data",

abstract = "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.",

author = "Xueqin Zhou and Jinlong Huang and Xianyi Wu",

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AB - 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.

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JO - Mathematical Problems in Engineering

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Estimation of Poisson-Dirichlet Parameters with Monotone Missing Data

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