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Statistical Rethinking 2022 - Modeling Events

Richard McElreath via YouTube

Overview

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This course introduces generative modeling of events through generalized linear models, logit priors, logistic regression, and binomial regression. It also discusses marginal causal effects and applications involving gender.

Syllabus

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

Taught by

Richard McElreath

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