Prerequisites: graduate standing; STAT 201B or equivalent, or consent of instructor
Description: Topics include Bayesian estimation; prior selection; loss functions; admissibility; hypothesis testing; Neyman-Pearson lemma; size; power; UMP tests; likelihood ratio tests; sequential tests; non-parametric tests; and bootstrap.
Credit: Credit is not awarded to STAT 201C if it has already been awarded to STAT 210C.