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1
Introduction
2
Modeling events
3
Applications & gender
4
Generative model
5
Generalized linear models
6
Logit priors
7
Logistic regression
8
Intermission
9
Binomial regression
10
Marginal causal effect
11
Summary and outlook
Description:
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.

Statistical Rethinking 2022 - Modeling Events

Richard McElreath
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