Explore ordered categories and statistical rethinking in this comprehensive lecture. Delve into trolley problems, cumulative log-odds, and ordered logit examples. Examine sample bias, confounding, and ordered predictors. Learn about Dirichlet priors and complex causal effects. Gain insights into big ordered logit models and repeat observations. Access accompanying slides and course materials on GitHub. Enjoy musical interludes and relevant video clips throughout the presentation.
Statistical Rethinking 2022 - Ordered Categories
Overview
Syllabus
Introduction
Trolley problems
Ordered categories
Cumulative log-odds
Ordered logit example
Sample bias and confounding
Intermission
Ordered predictors
Dirichlet priors
Big ordered logit model
Complex causal effects
Repeat observations and outlook
Taught by
Richard McElreath
