2019 FallSTAT 440 Section 01, 4 units

Studies the Bayesian approach to data analysis. Includes Bayes theorem, basic concept of Bayesian statistics, prior and posterior distributions, conjugacy, credible intervals, generalized linear models, statistical inference (with comparison to frequentist approach), prior elicitation, computational methods and applications to real world problems.[(Prereq: (MATH 151) and (MATH 320 or STAT 250 or STAT 100 or BUS 204) with a C- or better)]