Computational Statistics

An advanced course on the computational techniques behind modern statistical practice, from random number generation and sampling to Markov chain Monte Carlo methods. Students apply Monte Carlo simulation, graphical models, and bootstrapping to build conceptual understanding of computational inference through concrete applications.