A note on convergence of an iterative algorithm for semiparametric odds ratio models
成果类型:
Article
署名作者:
Chen, Hua Yun
署名单位:
University of Illinois System; University of Illinois Chicago; University of Illinois Chicago Hospital
刊物名称:
BIOMETRIKA
ISSN/ISSBN:
0006-3444
DOI:
10.1093/biomet/asv024
发表日期:
2015
页码:
747751
关键词:
LIKELIHOOD
摘要:
This paper points out an error in Davidov and Iliopoulos's (Biometrika 100, 778-80) proof of convergence of an iterative algorithm for the proportional likelihood ratio model. It is shown that the iterative algorithm increases the likelihood in each iteration and converges under mild additional conditions when the odds ratio function is bounded.