I am an Assistant Professor of Data Sciences and Operations in the University of Southern California. I am a member of the USC Marshall Statistics Group. I graduated from Stanford University with a Statistics PhD in 2013, after defending this thesis. My advisor at Stanford was Iain Johnstone. Prior to that, I studied at Indian Statistical Institute for my Bachelor's and Master's degrees.
Research Interest: Empirical Bayes Methods, Predictive Inference, Prediction under Asymmetric losses, High-dimensional Statistics, Hierarchical Models, Connections between Estimation & Prediction theory.
I am not teaching this semester. All my class notes and lecture slides are available from their respective course-homes in BLACKBOARD -- USC's e-learning platform. I usually assign online homework. Please look at the class syllabus and blackboard announcements for all other information regarding the class.
• Mukherjee G and Johnstone IM. Exact minimax estimation of the predictive density in sparse Gaussian models. Annals of Statistics, 2015.
• Brown LD, Mukherjee G and Weinstein A. Empirical Bayes Estimates for a 2-Way Cross-Classified Additive Model.
• Radchenko P and Mukherjee G. Convex clustering via L1 fusion penalization. JRSS B (forthcoming)
• Mukherjee G, Brown LD and Rusmevichientong P. Efficient Empirical Bayes prediction under check loss using Asymptotic Risk Estimates.
• Mukherjee G and Johnstone IM. On Minimax Optimality of Sparse Bayes Predictive Density Estimates
• Banerjee T, Mukherjee G and Radchenko P. Feature Screening in Large Scale Cluster Analysis.
Selected Applied works:
• Single Cell Analysis of the Remodeling of Human Tonsil T Cells by Varicella-Zoster Virus. Cell Reports, July 2014, ISSN 2211-1247.
• Innate immune response to homologous rotavirus infection in the small intestinal villous epithelium at single-cell resolution. Proceedings of the National Academy of Sciences, 109.50 (2012): 20667-20672.