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Bayesian Analysis

SML 320

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This course provides an introduction to Bayesian analysis---a powerful statistical framework for making inferences and modeling uncertainty in a wide range of applications. Students will explore the fundamental principles of Bayesian statistics, probability theory, Bayesian inference, and practical applications of Bayesian modeling. The course will cover both the theory and hands-on implementation using data science software and the R programming language.
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Section L01

Section P01