Lectures related to Focused information criterion

Explores model selection criteria like AIC, BIC, and Cp in statistics for data science.

Explores variable selection methods and the bias-variance trade-off in statistical modeling.

Explores model choice, prediction, and forecasting techniques in time series analysis.

Covers the estimation of optimism for predictors via statistical models and the application of AIC to linear regression.

Covers model selection, nuisance parameters, and higher-order inference methods in statistical inference.