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Statistical Rethinking 2023 - Correlated Features

Richard McElreath via YouTube

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Overview

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This course examines correlated varying effects in Bayesian models, including multivariate and non-centered priors, correlated results, further estimands, and Cholesky factors. It combines conceptual explanation with coding examples.

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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