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：2008
卷号：70
期号：02
页码：177--182
出版社：Indian Statistical Institute
摘要：I would like to congratulate Sanat Sarkar for an excellent and thorough
appraisal of the state of art with the controlling of false discovery rate (FDR),
mostly arising in the context of multiple hypothesis testing (MHT) problems.
He has indeed focused on all the major statistical aspects of the FDR/MHT
complex, elucidating the theoretical and methodological perspectives. There
are some genuine statistical challenges embedded in this largely interdisci-
plinary field of research, and in this discussion I will mostly highlight some
of these issues with due emphasis on applications in high-dimensional low
sample size (HDLSS) data models, and appraise them in the light of the
developments in this seminal work.
