Bhargab Chattopadhyay

Assistant Professor - Mathematical Sciences

Research Areas

Research Interests
  • Nonparametric Methods
  • U-Statistics
  • Sequential Analysis
  • Spatial Statistics & Econometrics


Computation of Percentage Points of GMD-based Test Statistics for Testing the Mean of a Normal distribution. Journal of the Japan Statistical Society, accepted. (2012, with Mukhopadhyay, N.) 2012 - Publication
On a New Interpretation of Sample Variance. Statistiche Hefte, accepted. (2012, with Mukhopadhyay, N.) 2012 - Publication
Some Two-Stage Fixed-Width Confidence Interval Procedures for the Mean of a Normal Distribution. Sequential Analysis, accepted. (2012, with Mukhopadhyay, N.) 2012 - Publication
A Tribute to Frank Anscombe and Random Central Limit Theorem from 1952. Sequential Analysis, 31, 265-277. (2012, with Mukhopadhyay, N.) 2012 - Publication
Selected Examples of Non-Normal Data for Which a Studentized Sample Mean Has a Student's T-Distribution. Metron, 69, 175-183. (2011, with Mukhopadhyay, N.) 2011 - Publication
Estimating a Standard Deviation with U-statistics of Degree More Than Two: The Normal Case. Journal of Statistics: Advances in Theory and Applications, 5, 93-130. (2011, with Mukhopadhyay, N.) 2011 - Publication

News Articles

Professor Sharpens Statistical Tools Used in Economics Research
Policymakers rely on a wide range of economic data as they consider actions that affect local, regional and national economic conditions. Analyzing the massive quantities of data and coming up with usable information is a task that often falls on the shoulders of mathematicians and statisticians. At The University of Texas at Dallas, assistant professor of statistics and recent faculty hire Dr. Bhargab Chattopadhyay conducts research at this intersection between mathematics and economics, aiming to improve the tools that help policymakers understand trends and inform economic policies. Chattopadhyay joined the UT Dallas faculty in the Department of Mathematical Sciences last fall after earning his PhD from the University of Connecticut. His current research focuses on applying statistics to such issues as income and education inequalities.