Autumn 2025
Meeting:
TTh 2:30pm - 4:20pm
SLN:
14278
Section Type:
Lecture
Joint Sections:
CS&SS 509 A , STAT 509 A
Instructor:
OFFERED JOINTLY WITH STAT/CSSS 509.
GRADUATES ONLY EXCEPT WITH PERMISSI
OF THE INSTRUCTOR.
Catalog Description:
Examines methods, tools, and theory of mathematical statistics. Covers probability densities, transformations, moment generating functions, conditional expectation. Bayesian analysis with conjugate priors, hypothesis tests, the Neyman-Pearson Lemma. Likelihood ratio tests, confidence intervals, maximum likelihood estimation, Central limit theorem, Slutsky Theorems, and the delta-method. Prerequisite: STAT 311; either MATH 126 or MATH 136; and either MATH 208 or MATH 209. Offered: jointly with CSSS 509/STAT 509.
Credits:
4.0
Status:
Active
Last updated:
January 12, 2026 - 7:55 am