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：331--353
出版社：Indian Statistical Institute
摘要：The number of scientific publications on semiparametric methods per year
has been steadily increasing since the early 1980s. This increased interest has
happened in spite of the fact that the novelty of semiparametrics for its own
sake has run its course, and semiparametric methods are by now considered
classical. The underlying reasons for this continued interest include the genuine
scientific utility of semiparametric models combined with the breadth
and depth of the many theoretical questions that remain to be answered.
Empirical process techniques are an essential research tool for many of these
questions. Moreover, both semiparametric methods and empirical processes
are playing an increasingly valuable role in high dimensional data analysis
and in other emerging areas in statistics. The topics are very fruitful and
intriguing for new researchers to engage in. Graduate programs in statistics,
biostatistics and econometrics can and should include more empirical processes
and semiparametrics in their teaching in order to ensure a sufficient
supply of suitably qualified researchers.
关键词：Biostatistics, data mining, econometrics, empirical
processes, high dimensional data, semiparametric models, statistics education.
