Bayesian inference and sampling

Bayes' rule and conjugate models, expectation-maximization for mixtures and latent-variable models, variational mean-field inference, and Monte Carlo, rejection, Gibbs and Metropolis-Hastings sampling.

• Bayes' rule
• Conjugate priors
• Bayesian linear regression
• Expectation–maximization algorithm
• Mean-field variational inference
• Mixture models
• Monte Carlo and importance sampling
• Rejection sampling
• Markov chain Monte Carlo

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