Statistical Rethinking 2022 - Modeling Events

Explore the intricacies of modeling events in this comprehensive lecture from the Statistical Rethinking 2022 series. Delve into applications of statistical modeling in gender studies, generative models, and generalized linear models. Learn about logit priors, logistic regression, and binomial regression techniques. Discover how to calculate marginal causal effects and gain insights into the broader implications of statistical modeling. Access accompanying course materials, including slides and code, through the provided GitHub repository. Enjoy a musical interlude during the intermission and navigate easily through the lecture using the detailed chapter timestamps.

Introduction
Modeling events
Applications & gender
Generative model
Generalized linear models
Logit priors
Logistic regression
Intermission
Binomial regression
Marginal causal effect
Summary and outlook