Lecture43 (Data2Decision) Comparing Models
21:24
Lecture44 (Data2Decision) Multiple Regression in Excel and R
50:04
Analysis of Discrete Data: Model Selection, Akaike and Bayesian information criterion
19:05
Lecture46 (Data2Decision) Best Subset Regression in R
11:20
Evaluating model fit through AIC, DIC, WAIC and LOO-CV
20:57
Building and Comparing Mixed Models in R: ICC, Bayes Factor, and Variance Explained
13:58
30: Maximum likelihood estimation
17:25
Statistics 101: Multiple Regression, AIC, AICc, and BIC Basics
20:21