MATH 8820 - Introduction to Bayesian Statistics

3 Credits (3 Contact Hours)

Selective course focused on Bayes theorem, conjugate priors, posterior distributions, credible intervals, Monte Carlo approximations, Markov chain Monte Carlo (MCMC) methods, Gibbs sampling, Metropolis-Hastings algorithm, Bayesian hypothesis testing, hierarchical modeling, linear regression, and logistic regression. Students are expected to have completed a course in introductory probability and a course in introductory statistics, and have some experience with the software R before enrolling in this course.

Colleges

Academic Resources

Outside the Classroom

Applying to Clemson

Academic Opportunities

Financial Aid

Join Your Clemson Family

Services On Campus

Get Involved

Research Opportunities

Public Service and Agriculture

Innovation and Economic Development

For Tigers

Campus Resources

Campus Leadership