Bayesian inference offers a coherent framework for updating beliefs about unknown quantities in light of observed data. At its core lies Bayes’ theorem, which combines a prior distribution, ...

Bayesian variable selection addresses the challenge of identifying influential predictors from a vast pool of covariates by integrating prior beliefs with observed data. In high-dimensional contexts, ...

Articulate the primary interpretations of probability theory and the role these interpretations play in Bayesian inference Use Bayesian inference to solve real-world statistics and data science ...