Bhaswar B. Bhattacharya

Bhaswar B. Bhattacharya
  • Assistant Professor of Statistics and Data Science

Contact Information

  • office Address:

    419 Academic Research Building
    265 South 37th Street
    Philadelphia, PA 19104

Research Interests: nonparametric statistics, distribution-free inference, networks analysis, graphical models, statistical learning, combinatorial probability, discrete and computational geometry

Links: CV, Personal Website

Overview

Education

Ph.D. in Statistics, Stanford University, 2016
Master of Statistics (M. Stat.), Indian Statistical Institute, 2011
Bachelor of Statistics (B. Stat.), Indian Statistical Institute, 2009

 

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Research

Teaching

Current Courses

  • STAT970 - Mathematical Statistics

    Decision theory and statistical optimality criteria, sufficiency, point estimation and hypothesis testing methods and theory.

    STAT970001

Past Courses

  • AMCS999 - IND STUDY & RESEARCH

    Study under the direction of a faculty member.

  • STAT399 - INDEPENDENT STUDY

    Written permission of instructor and the department course coordinator required to enroll in this course.

  • STAT431 - STATISTICAL INFERENCE

    Graphical displays; one- and two-sample confidence intervals; one- and two-sample hypothesis tests; one- and two-way ANOVA; simple and multiple linear least-squares regression; nonlinear regression; variable selection; logistic regression; categorical data analysis; goodness-of-fit tests. A methodology course. This course does not have business applications but has significant overlap with STAT 101 and 102. This course may be taken concurrently with the prerequisite with instructor permission.

  • STAT432 - MATHEMATICAL STATISTICS

    An introduction to the mathematical theory of statistics. Estimation, with a focus on properties of sufficient statistics and maximum likelihood estimators. Hypothesis testing, with a focus on likelihood ratio tests and the consequent development of "t" tests and hypothesis tests in regression and ANOVA. Nonparametric procedures. This course may be taken concurrently with the prerequisite with instructor permission.

  • STAT511 - STATISTICAL INFERENCE

    Graphical displays; one- and two-sample confidence intervals; one- and two-sample hypothesis tests; one- and two-way ANOVA; simple and multiple linear least-squares regression; nonlinear regression; variable selection; logistic regression; categorical data analysis; goodness-of-fit tests. A methodology course.

  • STAT970 - MATHEMATICAL STATISTICS

    Decision theory and statistical optimality criteria, sufficiency, point estimation and hypothesis testing methods and theory.

  • STAT991 - SEM IN ADV APPL OF STAT

    This seminar will be taken by doctoral candidates after the completion of most of their coursework. Topics vary from year to year and are chosen from advance probability, statistical inference, robust methods, and decision theory with principal emphasis on applications.

  • STAT995 - DISSERTATION

  • STAT999 - INDEPENDENT STUDY

    Written permission of instructor and the department course coordinator required to enroll.

Awards and Honors

  • NSF Career Award, 2021-2026
  • Alfred P. Sloan Research Fellowship, 2021
  • Probability Dissertation Award, Department of Statistics, Stanford University, 2016
  • Sabyasachi Roy Memorial Gold Medal for the best master’s thesis, Statistics Program of the Indian Statistical Institute, 2009-2011

In the News

Knowledge @ Wharton

Activity

Latest Research

Somabha Mukherjee, Divyansh Agarwal, Nancy Zhang, Bhaswar B. Bhattacharya (2021), Distribution-free multisample test based on optimal matching with applications to single cell genomics, Journal of the American Statistical Association, (to appear).
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In the News

Making Statistics Work in the Real World

Recent Wharton research examines the interplay between the computational complexity of statistical methods and their performance.

Knowledge @ Wharton - 6/29/2017
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