Bayesian semi-parametric modeling for mixed proportional hazard models with right censoring

John W Lau

Research output: Contribution to journalArticle (Academic Journal)peer-review

3 Citations (Scopus)

Abstract

This paper presents a Bayesian semi-parametric approach to mixed proportional hazard models. The unobserved heterogeneity and the baseline hazard rate are assumed to be an integrated Dirichlet process and an integrated weighted gamma process, respectively. Bayesian estimators and a numerical algorithm are presented.
Translated title of the contributionBayesian semi-parametric modeling for mixed proportional hazard models with right censoring
Original languageEnglish
Pages (from-to)719 - 728
Number of pages10
JournalStatistics and Probability Letters
Volume76 (7)
DOIs
Publication statusPublished - Apr 2006

Bibliographical note

Publisher: Elsevier

Fingerprint Dive into the research topics of 'Bayesian semi-parametric modeling for mixed proportional hazard models with right censoring'. Together they form a unique fingerprint.

Cite this