This website is designed to host course material for STAT 544 - Bayesian Statistics at Iowa State University.

This course meets

  • TR 8-9:20 Snedecor 3105

Office hours are

  • Instructor: TBD
  • TA: TBD


The required textbook for the course is Bayesian Data Analysis (3rd edition). Other suggested textbooks.


Some links to Bayesian statistical software is provided here.

Relevant course pages

Course Description

Specification of probability models; subjective, conjugate, and noninformative prior distributions; hierarchical models; analytical and computational techniques for obtaining posterior distributions; model checking, model selection, diagnostics; comparison of Bayesian and traditional methods.

Course Objectives

  • Understand the basics of a Bayesian analysis including prior, likelihood, and posterior.
  • Perform a conjugate Bayesian analysis with Jeffreys prior.
  • Perform a computational Bayesian analysis using JAGS or Stan.


The prerequisite for the course is previous or concurrent enrollement in STAT 543 or equivalent, e.g. Econ 672.


Please use the Canvas discussion forum.

Reading schedule

See slides page

Faculty Senate Recommendations

This course abides by the Faculty Senate Recommendations provided at