Applied Bayesian Statistics Credit Hours: 3 hours Introduction to theory and methods of the Bayesian approach to statistical inference and data analysis. Covers components of Bayesian analysis (prior, likelihood, posterior), computational algorithms, and philosophical differences among various schools of statistical thought. Offered spring semester every odd-numbered year. Prerequisites: Undergraduate Prerequisite: STAT 4510/6510 and STAT 4230/6230 Graduate Prerequisite: STAT 4510/6510 and STAT 4230/6230 Level: Graduate Undergraduate
