MATH 319 Bayesian Inferences & Risk Analysis

Credit 3
Introduces Bayesian Theory and Principles, Apriori and Posterior Modeling, Stochastic Processes, Risk Analysis and Management Software, Logistic Regression Methods facilitated by special use of risk statistical packages. Prerequisites: MATH 310 or MATH 360 or permission of the instructor. Prerequisite(s): A grade of ‘C’ or better in MATH 310 or MATH 360 or permission of the instructor