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Lecture
Bayesian Estimation: Unsupervised Learning & MCMC
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Maximum Likelihood: Inference and Model Comparison
Explores maximum likelihood inference, model selection, and comparing models using likelihood ratios.
Statistical Inference: Model Selection and Nuisance Parameters
Covers model selection, nuisance parameters, and higher-order inference methods in statistical inference.
