Uniform Prior Bayes Procedures in Super High Dimensions, with Iain M. Johnstone



On Selecting an Optimal Transformation, with Larry Brown and Tony Cai





My Topics of Work and Coauthors at the Moment: Sparse signal recovery for count data (Tony Cai, Wenguang Sun, Tonglin Zhang); Scan statistics (Joe Glaz, Chris Robert); Weak convergence on compact abelian groups (Santosh Venkatesh); Dirichlet series.



The First 6.5 Million Twin Primes (The First of the Pair)



My Collaboration Distances with Some Scientists





Contemporary Developments in Statistical Theory, Springer, 2013
























Anirban DasGupta

Professor of Statistics

dasgupta@purdue.edu
Address:
150 N. University Street
MATH 548
West Lafayette, IN 47907-2068

Phone: (765) 494-6033
Fax: (765) 494-0558







Latest Publications and Accepted Papers

Sharp fixed $n$ bounds on the mean and the median of a Gaussian sample maximum and applications to the Donoho-Jin model (2014)


Asymptotic Risk and Bayes Risk of Thresholding Estimates and Optimal Thresholding (2013)


Moment problems for powers and products of random variables (2014)





Abstracts of Papers Not Submitted Yet

Analyzing a spike in a random sequence (2014)


On the l_p and l_infinity norms of a randomly picked point in a very high dimension (2013)





Columns in IMS Bulletin: Anirban's Angle


215 Influential Publications in Statistics


Nature and Man, Bimodal, At Their Best?


Randomization, Bootstrap, and Sherlock Holmes


Top Inequalities for a PhD Student


Understanding Citation Indices


Right or Wrong, Our Confidence Intervals


Mendeleef, Bode, and Precognition


Learning from a Student


Berkeley and Indian Statistics


A New Core?


Reading the Classics




Books and Lecture Notes

Statistical Theory: A Comprehensive Course, Volume One, In Reviews, Forthcoming
Table of Contents of Probability for Statistics and Machine Learning (Springer; Published May, 2011)
Fundamentals of Probability: A First Course
Asymptotic Theory of Statistics and Probability, Springer Verlag, New York
A Sourcebook on Probability
Lecture Notes on Mathematical Statistics
Lecture Notes on Statistical Inference for Stochastic Processes










Areas of Present Interest

Asymptotic theory and expansions, Decision theory for thresholding, Extremes, Theory of Bayes, Sample size choice, Transformations, Inequalities.


Present Journal Editorships

Associate Editor, Annals of Statistics, 1998 - 2015
Editor, IMS Bulletin, 2014-Present
Contributing Editor, IMS Bulletin, 2011 - 2013
Co-Executive Editor, Journal of Statistical Planning and Inference, 2012 - 2014
Co-Editor, Springer Series on Selected Works in Probability and Statistics, 2009 - Present
Associate Editor, Statistics Surveys of the IMS and the Bernoulli Society, 2007- Present
Associate Editor, Metrika, 2009- Present


Education, Professional Honors and Societies

PhD, 1984, Indian Statistical Institute
Fellow of the Institute of Mathematical Statistics, Elected 1993
American Mathematical Society
Mathematical Association of America
Institute of Mathematical Statistics
Bernoulli Society for Probability and Statistics
Chairman, Scientific Committee, Midwest Statistical Colloquium, 2007-09
Member, IMS Council, 2008-09


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