Asymptotic theory and expansions, Decision theory for thresholding,
Extremes, Theory of Bayes, Sample size choice, Transformations, Inequalities.
Teaching Recognitions
Elected one of the 10 Best Teachers in the School
of Science; 1987-88; 1997-98
Past Editorial Work
Editor, Lecture
Notes and Monograph Series, Institute of Mathematical Statistics,
2008-2009
Editor, Institute of Mathematical Statistics Collections and Volumes Series, 2008-2009
Associate Editor, Journal of American Statistical Association, 1996-
1999
Associate Editor, Journal of Statistical Planning and Inference, 1996-
2003
Associate Editor, International Statistical Review, 1995-1997
Associate Editor, Sankhya, 1997-2005
Volume Editorships
Editor, Selected Works of D. Basu, Springer
Editor, The Herman Rubin Festschrift, Institute of Mathematical
Statistics
Editor, Basu Memorial Issue of Sankhya, Parts I and II
Courses Taught
Statistics for Technology, Statistical Methods, Applied Linear Regression,
Experimental statistics, Applied multivariate analysis, Time series, Probability
theory, Probability for management, Statistical inference, Mathematical statistics, Decision theory and
Bayesian analysis, Advanced estimation, Advanced testing, Bootstrap, Asymptotic
theory, Nonparametric statistics, Inference for Stochastic processes, Spline smoothing, Tools of simulation, Calculus,
Advanced calculus, Linear Algebra.
My Coauthors
Larry Brown, Herman Rubin, Larry Shepp, Bill Studden, Iain Johnstone, Jim Berger, Tony Cai, Dimitris Politis, George Casella, Bill Strawderman, J.K. Ghosh, Jim Zidek, S.N. Lahiri, Jordan Stoyanov, Len Haff, John Marden, Gene Hwang, Brani Vidakovic, Arup Bose, Sanjib Basu, Christian Genest, Bimal Sinha, Alan Gelfand, Dipak Dey, Hyun-Sook Oh, Mei-mei Zen, S. Mukherjee, Wen-Chi Tsai, M. Delampady, John Peterson, Suzanne Lorenz, Laura Cayon, Weizhen Wang, Chuanbo Zhang, Tonglin Zhang