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Sanat K. Sarkar



Sanat K. Sarkar

Title: Cyrus H. K. Curtis Professor & Chair
Department: Statistics

Office: Speakman Hall 331
Phone: 215.204.6878

Research Interests: Multiple Testing, Statistical Methodolgies, High-Dimensional Statistical Inference, Multivariate Statistics

Dr. Sarkar’s Curriculum Vitae, Website

Dr. Sanat K. Sarkar is an internationally recognized researcher who has made fundamental contributions to the development of the field of multiple testing toward its applications in modern scientific investigations, such as in genomics and brain imaging. His research has been funded by the National Science Foundation and the National Security Agency, and often been cited in peer-reviewed journals. He has delivered invited talks at numerous national and international conferences. He co-organized a major conference on Multiple Comparisons funded by the NSF-CBMS and severed on the organizing committees of several international conferences on the same topic. He has served on the editorials boards of several respectable journals, like the Annals of Statistics, the American Statistician, and Sankhya. Dr. Sarkar has been recognized as a fellow by both the Institute of Mathematical Statistics and the American Statistical Association, and as an elected member of the International Statistical Institute. He was awarded the Musser Award for excellence in research by the Fox School and inducted several times to the Dean’s Research Honor Roll.

Sample Publications

  • Sarkar, S. K. “Some results on false discovery rate in stepwise multiple testing procedures,” The Annals of Statistics, 30 (1) 239-257, 2002.
  • Sarkar, S. K. and Chang, CK. “The Simes method for multiple hypothesis testing with positively dependent test statistics, ”Journal of the American Statistical Association 92 (440), 1601-1608, 1997
  • Sarkar, S. K. “Some probability inequalities for ordered MTP2 random variables: a proof of the Simes conjecture, ”The Annals of Statistics, 26 (2), 494-504, 1998.
  • Sarkar, S. K. “False discovery and false nondiscovery rates in single-step multiple testing procedures,”The Annals of Statistics, 394-415, 2006.
  • Gavrilov, Benjamini, and Sarkar, “An adaptive step-down procedure with proven FDR control under independence,” The Annals of Statistics, 619-629, 2009.

Awards and Honors

  • Fellow, Institute of Mathematical Statistics, and American Statistical Association
  • Elected Member, International Statistical Institute
  • The Musser Award for Excellence in Leadership for Research, Fox School of Business Management, Temple University, 2000


Fox School of Business, Temple University

  • Advanced Statistical Inference I
  • Advanced Statistical Inference II
  • Modern Multiple Testing Methods

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