ENROLL Course Search

Saved Courses (0)

Your search for courses for 21/FA and with code: STATSELEC found 1 course.

Revise Your Search New Search

STAT 340.00 Bayesian Statistics 6 credits

Closed: Size: 20, Registered: 25, Waitlist: 0

CMC 206

MTWTHF
9:50am11:00am9:50am11:00am9:40am10:40am
Synonym: 61454

Adam Loy

Formerly MATH 315) An introduction to statistical inference and modeling in the Bayesian paradigm. Topics include Bayes’ Theorem, common prior and posterior distributions, hierarchical models, Markov chain Monte Carlo methods (e.g., the Metropolis-Hastings algorithm and Gibbs sampler) and model adequacy and posterior predictive checks. The course uses R extensively for simulations.

Prerequisite: Statistics 250 (formerly Mathematics 275)

Fomerly Mathematics 315

Search for Courses

This data updates hourly. For up-to-the-minute enrollment information, use the Search for Classes option in The Hub

Instructional Mode
Class Period
Courses or labs meeting at non-standard times may not appear when searching by class period.
Requirements
You must take 6 credits of each of these.
Overlays
You must take 6 credits of each of these,
except Quantitative Reasoning, which requires 3 courses.
Special Interests