Trambak Banerjee

Photo of Trambak Banerjee
  • Assistant Professor
  • Analytics, Information, Operations academic area

Contact Info

785-864-1880
Capitol Federal Hall, Room 3105
Lawrence

Personal Links

Education —

Ph.D. in Business Administration (Statistics), Marshall School of Business, University of Southern California, 2020
M.S. in Mathematical Finance, University of Oxford, 2015
M.S. in Statistics, Indian Statistical Institute, 2006, Kolkata
B.S. in Statistics, St. Xavier’s College, University of Calcutta, 2004

Research —

Research interests:

  • Large-Scale Multiple Testing
  • Nonparametric Empirical Bayes methods
  • Uncertainty Quantification for Black-Box Models
  • Applications in Health, Marketing and Finance

Selected Publications —

Banerjee, T. (2026). Harnessing The Collective Wisdom: Fusion Learning Using Decision Sequences from Diverse Sources. Biometrika - Issue 1 | Volume 113. https://doi.org/10.1093/BIOMET/ASAF080.
Sharma, P., Banerjee, T. (2026). Do financial regulators act in the public’s interest? A Bayesian latent class estimation framework for assessing regulatory responses to banking crises. Journal of the Royal Statistical Society Series A: Statistics in Society - Issue 1 | Volume 189. https://doi.org/10.1093/JRSSSA/QNAE150.
Banerjee, T., Liu, Q., Mukherjee, G., Sun, W. (2021). A General Framework for Empirical Bayes Estimation in Discrete Linear Exponential Family. Journal of Machine Learning Research - Issue 67 | Volume 22.
Banerjee, T., Mukherjee, G., Sun, W. (2020). Adaptive Sparse Estimation with Side Information. Journal of the American Statistical Association - Issue 532 | Volume 115. https://doi.org/10.1080/01621459.2019.1679639.
Banerjee, T., Mukherjee, G., Dutta, S., Ghosh, P. (2020). A Large-Scale Constrained Joint Modeling Approach for Predicting User Activity, Engagement, and Churn With Application to Freemium Mobile Games. Journal of the American Statistical Association - Issue 530 | Volume 115. https://doi.org/10.1080/01621459.2019.1611584.