Soumendra Nath Lahiri Professor 525J Blocker Hall Department of Statistics Texas A & M University College Station, TX 77843-3143 Ph: (979) 862-7582 snlahiri@stat.tamu.edu

Conference on Resampling Methods and High Dimensional Data:
March 25-26, 2010.

QUICK LINKS:

Research	Resources	Teaching
Selected papers: list	Databases: CIS ; MathSciNet	Current course: Stat 689
Curriculum Vitae: pdf file	Professional Societies: IMS ; List	Final Exam: schedule
Book: Resampling Methods for dependent data	Research Institutes: SAMSI; IMA;	Calendar: academic
Book: Measure Theory and probability Theory	Granting Agencies: NSF; NIH; EPA	Library+: LibCat; list; JSTOR;

Some Other Links of interest:

News: CNN; yahoo; samachar

Weather: weather.com

Magazines: Science

• Ph. D., 1989, Statistics, Michigan State University, East Lansing, MI.
• M.Stat., 1986, Statistics, Indian Statistical Institute, Calcutta
• B.Stat., 1984, Statistics, Indian Statistical Institute, Calcutta

• 2006-present: Professor, Texas A & M University
• 1998-2007: Professor, Iowa state University
• 1994-1998: Associate Professor, Iowa state University
• 1989-1994: Assistant Professor, Iowa state University

• 2005: Elected member, International Statistical Institute
• 2003: ISU College of Liberal Arts and Sciences Award for Excellence in Research and Scholarship
• 2002: Fellow, American Statistical Association
• 2001: Fellow, Institute of Mathematical Statistics
• 1994: ISU Foundation Award for Early Achievement in Research and Scholarship

• 2007: Program Chair, Section on Nonparametric Statistics, American Statistical Association
• 2005-2007: Program Chair, International Indian statiscal Association
• 2004-: Associate Editor, Sankhya
• 2003-: Associate Editor, Statistical Methodology
• 2002-2005: Associate Editor, Statistics and Probability Letters
• 1999-2000: Secretary, Section on Nonparametric Statistics, American Statistical Association
• 1998-1999: President, Iowa Chapter, American Statistical Association

• Asymptotic Expansions
• Environmental Statistics
• Resampling Methods
• Spatial Statistics
• Time series and Econometric Theory

• Stat 614 - Advanced Probability Theory
• Stat 620 - Large Sample Theory
• Stat 647 - Spatial Statistics