- Assistant Professor
- Analytics, Information and Operations Management academic area
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
- Shrinkage Estimation and Empirical Bayes Prediction
- High Dimensional Penalized Likelihood Methods
- Statistical applications in Virology, Consumer behavior and Marketing.
Selected Publications —
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 Articles]. <br><br>, 115(530), 538–554. https://www.tandfonline.com/doi/abs/10.1080/01621459.2019.1611584
Banerjee, T., Mukherjee, G., & Sun, W. (2020). Adaptive Sparse Estimation with Side Information [Journal Articles]. <br><br>, 115(532), 2053–2067. https://doi.org/10.1080/01621459.2019.1679639
Banerjee, T., Mukherjee, G., & Radchenko, P. (2017). Feature Screening in Large Scale Cluster Analysis [Journal Articles]. <br><br>, 161, 191–212.
Banerjee, T., Liu, Q., Mukherjee, G., & Sun, W. (accepted/in press). A General Framework for Empirical Bayes Estimation in Discrete Linear Exponential Family [Journal Articles]. <br><br>.