24:23

The Pareto front and Lex Parsimoniae

31:16

Model selection: Cross validation

17:25

Statistics 101: Multiple Regression, AIC, AICc, and BIC Basics

23:42

Feature Selection and Data Mining

11:20

Evaluating model fit through AIC, DIC, WAIC and LOO-CV

9:42

Time Series Model Selection (AIC & BIC) : Time Series Talk

19:05

Supervised Learning and Linear Discriminants

50:04

Analysis of Discrete Data: Model Selection, Akaike and Bayesian information criterion