Bhaswar B. Bhattacharya

Assistant Professor of Statistics

Contact Information

Primary Email:
bhaswar@wharton.upenn.edu
Office Phone:
215-573-0535

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

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.

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