STAT 564

Bayesian Statistics for the Social Sciences
4.0 credits

Course Description

Statistical methods based on the idea of probability as a measure of uncertainty. Topics covered include subjective notion of probability, Bayes' Theorem, prior and posterior distributions, and data analysis techniques for statistical models. Prerequisite: SOC 504, SOC 505, SOC 506 or equivalent. Offered: jointly with CS&SS 564.

Syllabus Downloads

Upcoming Time Schedule

Spring, 2023

SLN/Section Time Location Instructor
20188 A
Open

T Th 2:30PM - 3:50PM

F 2:30PM - 3:20PM

JHN 026

SMI 107