Bayesian Methods in AI

Bayesian methods model uncertainty by treating parameters and predictions as probability distributions. Common practices include MCMC and variational inference for posterior estimation, Gaussian processes for nonparametric modeling, and careful prior selection and diagnostics for robust inference.