Statistical Rethinking 2022 - Correlated Varying Effects

Explore correlated varying effects in statistical modeling through this comprehensive lecture. Delve into topics such as varying effects as confounds, adding features and learning correlations, maximally varying chimpanzees, non-centered covariance, non-centered coding, and variance within and between. Gain insights from Richard McElreath's expertise as he guides you through these complex concepts, providing a thorough summary and outlook. Access additional course materials, including slides, through the provided GitHub repository link.

Introduction
Varying effects as confounds
Adding features and learning correlations
Maximally varying chimpanzees
Non-centered covariance
Non-centered coding
Variance within and between
Summary and outlook