STAT 431

Fall 2021 Part of Term 1

Part of Term 1
Aug 23-Dec 8

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.

My Favorites

My Schedule

Section Status updates every 10 minutes.

STAT 431 class schedule data for fall 2021
	CRN	Type	Section	Time	Day	Location	Instructor	Section Details
	73348	Lecture-Discussion	1GR	11:00AM -12:20PM	TR	Burrill Hall	Park, T	Part of Term: 1 Date Range: 08/23/21-12/08/21 Credit: 4 hours Section Info: For up-to-date information about statistics course registration, please see our registration update pages: go.illinois.edu/StatisticsRegistration Restriction(s): Restricted to Graduate - Urbana-Champaign.
	73349	Lecture-Discussion	1UG	11:00AM -12:20PM	TR	Burrill Hall	Park, T	Part of Term: 1 Date Range: 08/23/21-12/08/21 Credit: 3 hours Section Info: For up-to-date information about statistics course registration, please see our registration update pages: go.illinois.edu/StatisticsRegistration Restriction(s): Restricted to Undergrad - Urbana-Champaign.