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Lecture
Optimization and Simulation: Bayesian Inference
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Monte Carlo Chain: Motivation and Algorithm
Explores the motivation and algorithm behind the Monte Carlo Chain method.
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.
