University of California, Los Angeles 4 credits Statistics
Lecture, three hours; discussion, one hour. Requisite: course 400. Recommended requisites: courses 401, 402, 403, 404, 405. Limited to Master of Applied Statistics and Data Science students. Fundamental concepts of Bayesian statistical thinking. Bayesian decision theory. The theory and application of Bayesian statistical ideas to modern statistical models. Bayesian data analysis, model comparison, and assessment of goodness-of-fit. Using Stan for Bayesian inference for arbitrary user-specified models. Letter grading.
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