Welcome - Bayesian Data Analysis
STAT 4130 Bayesian Data Analysis
CREDIT HOURS: 3
This course introduces the student to the Bayesian methods in applied statistics. The course covers all the fundamental concepts of Bayesian methods, and works from the simplest ideas (characterizations of probability; comparative inference; prior, posterior and predictive distributions) up through hierarchical modes applied to various data. Computational methods include MCMC for posterior simulation.
FORMAT: Lecture
PREREQUISITES:
MATH 2030.03 or M
ath 1030.03, and STAT 3460.03
EXCLUSIONS:
STAT 5130.03