Learning

Bayesian Inference and Its Foundations

Probability Theory Foundations → Bayesian Inference in Practice

This learning path guides graduate students from foundational probability and Bayes' theorem through the core concepts of Bayesian inference, including priors, likelihoods, posteriors, and conjugate priors. It emphasizes the conceptual underpinnings and practical implications of the Bayesian framework for statistical modeling and decision-making.