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Statistical Rethinking 2022 - Correlated Varying Effects

Richard McElreath via YouTube

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Overview

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This course examines correlated varying effects in Bayesian models, covering confounds, feature correlations, non-centered covariance and coding, and variance within and between groups.

Syllabus

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

Taught by

Richard McElreath

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