Statistical Rethinking 2023 - Correlated Features
Offered By: Richard McElreath via YouTube
Course Description
Overview
Explore correlated features in statistical modeling through this comprehensive lecture from the Statistical Rethinking 2023 course. Delve into topics such as correlated varying effects, building multivariate priors, and non-centered multivariate priors. Learn how to code multivariate priors, interpret correlated results, and understand further estimands. Gain insights into divergent transitions and Cholesky factors in the bonus section. Perfect for those seeking to deepen their understanding of advanced statistical concepts and their practical applications.
Syllabus
Introduction
Correlated varying effects
Building the multivariate prior
Pause
Coding the multivariate prior
Non-centered multivariate priors
Correlated results
Further estimands
Summary and outlook
BONUS divergent transitions and Cholesky factors
Taught by
Richard McElreath
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