Explore advanced statistical concepts in this comprehensive lecture on categories, curves, and splines. Delve into causal models of weight, categorical variables, contrasts, and direct effect estimation. Gain insights into Bayesian causal inference and learn how to create curves from lines using polynomial models and splines. Follow along with detailed explanations and practical examples to enhance your understanding of these complex statistical techniques.
Statistical Rethinking 2022 - Categories, Curves & Splines
Overview
Syllabus
Introduction
Causal model of weight
Categorical variables
Contrasts
Estimating a direct effect
Bayesian causal inference
Intermission
Curves from lines
Polynomial models
Splines
Summary
Taught by
Richard McElreath
