STAT 431

Fall 2025 Part of Term 1

Part of Term 1
Aug 25-Dec 10

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 2025
CRN	Type	Section	Time	Day	Location	Instructor	Section Details
73348	Lecture-Discussion	1GR	2:00PM -2:50PM	MWF	4025 Campus Instructional Facility	Park, T	Part of Term: 1 Date Range: 08/25/25-12/10/25 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	2:00PM -2:50PM	MWF	4025 Campus Instructional Facility	Park, T	Part of Term: 1 Date Range: 08/25/25-12/10/25 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.
79543	Lecture-Discussion	2GR	12:00PM -12:50PM	MWF	114 Transportation Building	Park, T	Part of Term: 1 Date Range: 08/25/25-12/10/25 Credit: 4 hours Restriction(s): Restricted to Graduate - Urbana-Champaign.
79544	Lecture-Discussion	2UG	12:00PM -12:50PM	MWF	114 Transportation Building	Park, T	Part of Term: 1 Date Range: 08/25/25-12/10/25 Credit: 3 hours Restriction(s): Restricted to Undergrad - Urbana-Champaign.