| Spring Term 2020 Bayesian Statistics - 3449 - MATH 450 |
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Prerequisites/Notes: MATH 240 Catalog Description : A study of the Bayesian statistical philosophy, contrasting it with the traditional frequentist approach taught in other statistics courses. Topics include Bayes' Theorem, prior and posterior probability distributions, hierarchical models, and Markov Chain Monte Carlo methods. The course will involve a mixture of lecture, discussion, and use of statistical software. Requirements include exams, a project, and assignments involving the use of statistical software. PREREQUISITES: MATH 240 Attributes: 400-599 Advanced Course
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