STATS 230: Statistical Computing Methods
Numerical computations and algorithms with applications in statistics. Topics include optimization methods including the EM algorithm, random number generation and simulation, Markov chain simulation tools, and numerical integration. Prerequisites: two quarters of upper-division or graduate training in probability and statistics. Statistics 230 and CS 206 may not both be taken for credit.
Level: Graduate Units: 4 Category: Core for: None Prerequisites: No Prerequisites Catalogue: Editor's Office