Prerequisites: STAT 201A or consent of instructor
Description: Topics include computational aspects of optimization; numerical integration; Monte Carlo methods; resampling methods; expectation maximization (EM) algorithm; Markov chain and Monte Carlo methods; nonparametric estimation; and other current computational methods.