Главная
Study mode:
on
1
Introduction
2
Multiple cluster types
3
Multilevel predictions
4
Divergent transitions
5
Non-centered priors
6
Non-centered tadpoles
7
Summary and outlook
Description:
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

Richard McElreath
Add to list
0:00 / 0:00