SANAT K. SARKAR

Cyrus H. K. Curtis Professor & Chair - Statistical Science

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.

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

TEACHING

GRADUATE

This is a two-semester sequence of core courses for MS students in Statistics and some Ph.D. students in Business Administration. It covers basic statistical theories related to problems such as estimation, testing of hypotheses, analysis of variance, and regression.

This is a two-semester sequence of core courses for MS students in Statistics and some Ph.D. students in Business Administration. It covers basic statistical theories related to problems such as estimation, testing of hypotheses, analysis of variance, and regression.

This is a two-semester sequence of core courses for MS students in Statistics and some Ph.D. students in Business Administration. It covers basic statistical theories related to problems such as estimation, testing of hypotheses, analysis of variance, and regression.

This is a two-semester sequence of core courses for MS students in Statistics and some Ph.D. students in Business Administration. It covers basic statistical theories related to problems such as estimation, testing of hypotheses, analysis of variance, and regression.

This is a two-semester sequence of core courses for MS students in Statistics and some Ph.D. students in Business Administration. It covers basic statistical theories related to problems such as estimation, testing of hypotheses, analysis of variance, and regression.

This is a two-semester sequence of core courses for MS students in Statistics and some Ph.D. students in Business Administration. It covers basic statistical theories related to problems such as estimation, testing of hypotheses, analysis of variance, and regression.

UNDERGRADUATE

This is a two-semester sequence of core courses for MS students in Statistics and some Ph.D. students in Business Administration. It covers basic statistical theories related to problems such as estimation, testing of hypotheses, analysis of variance, and regression.

This is a two-semester sequence of core courses for MS students in Statistics and some Ph.D. students in Business Administration. It covers basic statistical theories related to problems such as estimation, testing of hypotheses, analysis of variance, and regression.

This is a two-semester sequence of core courses for MS students in Statistics and some Ph.D. students in Business Administration. It covers basic statistical theories related to problems such as estimation, testing of hypotheses, analysis of variance, and regression.

This is a two-semester sequence of core courses for MS students in Statistics and some Ph.D. students in Business Administration. It covers basic statistical theories related to problems such as estimation, testing of hypotheses, analysis of variance, and regression.

This is a two-semester sequence of core courses for MS students in Statistics and some Ph.D. students in Business Administration. It covers basic statistical theories related to problems such as estimation, testing of hypotheses, analysis of variance, and regression.

This is a two-semester sequence of core courses for MS students in Statistics and some Ph.D. students in Business Administration. It covers basic statistical theories related to problems such as estimation, testing of hypotheses, analysis of variance, and regression.

Address: 1810 Liacouras Walk, Room 333 Philadelphia PA, 19122 Phone: 215-204-6878 Email: sanat@temple.edu