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Statistical Rethinking 2022 - Missing Data

Richard McElreath via YouTube

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Overview

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This course explains Bayesian approaches to missing data, including imputation in directed acyclic graphs, implementation, a complete Stan example, and censored observations.

Syllabus

Introduction
Missing data in DAGs
Bayesian imputation, concepts
Bayesian imputation, code
Complete Stan example
Summary and outlook
Censored observations

Taught by

Richard McElreath

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