Teaching at ISI, Kolkata:
Spring 2024: Resampling Techniques, M.Stat. First Year
Fall 2023: Stochastic Processes, M.Stat. First Year
Spring 2023: Theory of Random Graphs, graduate course
Spring 2023: Brownian Motion and Diffusions, M.Stat. Second Year
Fall 2021: Multivariate Analysis, M.Stat. First Year
Spring 2021: Weak Convergence and Empirical Processes, M.Stat. Second Year
Fall 2020: Stochastic Processes, M.Stat. First Year
Spring 2020: Advanced Nonparametric Inference, M.Stat. Second Year
Fall 2019: Categorical Data Analysis, M.Stat. First Year
Spring 2019: Weak Convergence and Empirical Processes, M.Stat. Second Year
Fall 2018: Multivariate Analysis, M.Stat. First Year
Teaching at UC Berkeley:
Fall 2017: GSI for Stat 155, Game Theory (instructor: Nike Sun)
Summer 2017: GSI for Stat 155, Game Theory (instructor: Shobhana Murali Stoyanov)
Spring 2017: GSI for Stat 134, Concepts of Probability (instructor: Ani Adhikari)
Fall 2015: Grader for Stat 201B, Introduction to Statistics at an Advanced Level (instructor: Yuekai Sun)
Fall 2015: GSI for Stat 201A, Introduction to Probability at an Advanced Level (instructor: Jim Pitman)
Fall 2014: GSI for Stat 155, Game Theory (instructor: Shobhana Murali Stoyanov)
Expository notes:
These notes are old and somewhat unpolished. Use at your own risk!