文章基本信息

标题：Discussion of Michael Kosorok's Article: What's so Special about Semiparametric Methods?
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作者：Moulinath Banerjee University of Michigan, USA
期刊名称：Sankhya. Series A, mathematical statistics and probability
印刷版ISSN：0976-836X
电子版ISSN：0976-8378
出版年度：2009
卷号：71
期号：02
页码：354--363
出版社：Indian Statistical Institute
摘要：I would like to take this opportunity to congratulate Professor Michael Kosorok (MK in the subsequent discussion) on a fine review of the current state of semiparametric methods and inference. MK has dealt with a number of different areas in the article; from publication facts and figures in connection with impact to the scientific utility of semiparametric modeling, theoretical issues of current interest, the closely associated topic of empirical processes, and last but not the least the issue of dissemination of semiparametric methodology among students of statistics through graduate education and to practitioners through the availability of software. I will focus my discussion of MK¡¯s paper on a subset of the topics that he has covered, topics that reflect (at some level) my personal interests and those on which I have stronger opinions.
关键词：asymptotically pivotal, mixed-case interval-censoring, likelihoodbased change point estimation, non-regularity of the parametric component