STAT 544

Bayesian Statistical Methods
3.0 credits

Course Description

Statistical methods based on the idea of a probability distribution over the parameter space. Coherence and utility. Subjective probability. Likelihood principle. Conjugate families. Structure of Bayesian inference. Limit theory for posterior distributions. Sequential experiments. Exchangeability. Bayesian nonparametrics. Empirical Bayes methods. Prerequisite: STAT 513 or permission of instructor.

Syllabus Downloads

Upcoming Time Schedule

Spring, 2024

SLN/Section Time Location Instructor
20237 A
Open

T Th 3:30PM - 4:50PM

MGH 254

 

 

20238 B
Open

T Th 3:30PM - 4:50PM

MGH 254

COURSE JOINT WITH STAT 544A. STAT MS FEE-BASED STUDENTS ONLY.