Posterior ∝ Prior × Likelihood (Bayes' rule): updating subjective belief over parameters θ given data x. Conjugate priors, MCMC, and variational inference are the main computational tools.
Posterior ∝ Prior × Likelihood (Bayes' rule): updating subjective belief over parameters θ given data x. Conjugate priors, MCMC, and variational inference are the main computational tools.