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Markov chain Monte Carlo
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Monte Carlo: Optimization and Estimation
Explores optimization and estimation in Monte Carlo methods, emphasizing Bayes-optimal groups and estimators.
Bayesian Estimation: Overview and Examples
Introduces Bayesian estimation, covering classical versus Bayesian inference, conjugate priors, MCMC methods, and practical examples like temperature estimation and choice modeling.
