Bhaswar B. Bhattacharya

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.

• 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.

• 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

Knowledge @ Wharton

• Making Statistics Work in the Real World, Knowledge @ Wharton - 06/29/2017