Lectures related to Bayesian Inference: Precision in Gaussian Model

Related lectures (32)

Explores model selection using AIC and BIC criteria, addressing different questions and the importance of sparsity in selecting the best model.

Explores linear regression estimation, linearity assumptions, and statistical tests in the context of model comparison.