Foundations of parametric statistics: elementary decision theory, Bayesian methods, modes of convergence, central limit theorems, delta method, maximum likelihood estimation, regularity, hypothesis testing under fixed and local alternatives, parametric efficiency theory. Prerequisites: STAT 513; recommended: mathematical analysis from a course at the level of either MATH 426 or STAT 559 Offered: jointly with BIOST 583; Autumn