Explore statistical rethinking concepts in this comprehensive lecture covering ordered categories, ethical considerations, and advanced modeling techniques. Delve into topics such as ethics and trolleys, ordered categorical models, participation bias, ordered monotonic predictors, and Dirichlet distributions. Learn how to apply these concepts in practical scenarios and gain insights into post-stratification and selection nodes. Benefit from a structured outline that guides you through each topic, including a bonus section for additional depth. Access course materials through the provided GitHub repository link and enjoy an engaging learning experience with introductory music to set the tone.
Statistical Rethinking 2023 - Ordered Categories
Overview
Syllabus
Introduction
Ethics and trolleys
Ordered categories
Ordered categorical models
Participation bias
Pause
Ordered monotonic predictors
Dirichlet distributions
Everything all at once
Summary and outlook
BONUS description & post-strat & selection nodes
Taught by
Richard McElreath
