STT 465: Bayesian Statistical Methods

Semester: 2025 Fall.
Textbook: A First Course in Bayesian Statistical Methods by Peter D. Hoff and A student’s guide to Bayesian statistics by Ben Lambert.
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STT 465 is the undergraduate course covering fundamentals of Bayesian statistical methods along with their implementation in RStudio. Topics covered include:

• Bayes theorem and Conjugate distributions.
• Monte Carlo methods.
• Normal models and Gibbs sampling.
• Bayesian linear regression and model selection.
• Metropolis Hastings algorithm.
• Bayesian logistic regression and model selection.