Bhaswar B. Bhattacharya

Bhaswar B. Bhattacharya
  • Assistant Professor of Statistics

Contact Information

  • office Address:

    466 Jon M. Huntsman Hall
    3730 Walnut Street
    Philadelphia, PA 19104

Research Interests: combinatorial probability, discrete and computational geometry, inference on networks, learning theory, nonparametric statistics

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

  • 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.

    STAT431401 ( Syllabus )

    STAT431402 ( Syllabus )

  • 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.

    STAT511401 ( Syllabus )

    STAT511402 ( Syllabus )

  • STAT970 - Mathematical Statistics

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

    STAT970001 ( Syllabus )

Past Courses

  • 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.

  • 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 - Seminar in Advanced Application of Statistics

    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.

Awards and Honors

  • 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

Bhaswar B. Bhattacharya, Shirshendu Ganguly, Xuancheng Shao, Yufei Zhao (2018), Upper tail large deviations for arithmetic progressions in a random set, International Mathematics Research Notices, (to appear).
All Research

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 - 2017/06/29
All News

Awards and Honors

Probability Dissertation Award, Department of Statistics, Stanford University 2016
All Awards