STAT 431

Fall 2020 Part of Term 1

Part of Term 1
Aug 24-Dec 9

Applied Bayesian Analysis

SHOW FINAL EXAM SCHEDULE

Credit: 3 OR 4 hours.

Introduction to the concepts and methodology of Bayesian statistics, for students with fundamental knowledge of mathematical statistics. Topics include Bayes' rule, prior and posterior distributions, conjugacy, Bayesian point estimates and intervals, Bayesian hypothesis testing, noninformative priors, practical Markov chain Monte Carlo, hierarchical models and model graphs, and more advanced topics as time permits. Implementations in R and specialized simulation software.

Same as ASRM 453. 3 undergraduate hours. 4 graduate hours. Prerequisite: STAT 410 and knowledge of R.

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STAT 431 class schedule data for fall 2020
	CRN	Type	Section	Time	Day	Location	Instructor	Section Details
	73348	Online	1GR	11:00AM -12:20PM	TR	n.a.	Culpepper, S	Part of Term: 1 Date Range: 08/24/20-12/09/20 Credit: 4 hours Restriction(s): Restricted to Graduate - Urbana-Champaign.
	73349	Online	1UG	11:00AM -12:20PM	TR	n.a.	Culpepper, S	Part of Term: 1 Date Range: 08/24/20-12/09/20 Credit: 3 hours Restriction(s): Restricted to Undergrad - Urbana-Champaign.