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What is a posterior predictive check and how is it useful?
What is meant by overfitting? (2 videos)
The ideal measure of a model’s predictive fit
Explaining Kullback-Liebler divergence through secret codes
Evaluating model fit through AIC, DIC, WAIC and LOO-CV
Introducing Bayes factors and marginal likelihoods