Explore advanced statistical concepts in this comprehensive lecture on multi-multilevel models. Delve into topics such as multiple cluster types, multilevel predictions, and divergent transitions. Learn about non-centered priors and their application to tadpole data. Gain insights from Richard McElreath's expertise as he guides you through complex statistical rethinking. Access accompanying course materials on GitHub for a deeper understanding of the concepts presented. Enhance your statistical analysis skills and broaden your perspective on multi-level modeling techniques.
Statistical Rethinking 2022 - Multi-Multilevel Models
Overview
Syllabus
Introduction
Multiple cluster types
Multilevel predictions
Divergent transitions
Non-centered priors
Non-centered tadpoles
Summary and outlook
Taught by
Richard McElreath
