Statistical Rethinking 2022 - Geocentric Models
Offered By: Richard McElreath via YouTube
Course Description
Overview
Explore linear regression from a Bayesian perspective in this comprehensive lecture from the Statistical Rethinking 2022 series. Delve into topics such as the rationale behind using normal distributions, generative and statistical linear models, validation techniques, and posterior predictions. Learn the language for modeling and gain insights into the statistical rethinking approach. Access accompanying slides and course materials on GitHub for a deeper understanding of the concepts presented. Navigate through various sections including an introduction, intermission, and summary, with musical interludes enhancing the learning experience.
Syllabus
Introduction
Why normal?
Flow
Language for modeling
Linear models, generative
Intermission
Linear models, statistical
Validation and analysis
Posterior predictions
Summary
Taught by
Richard McElreath
Related Courses
Introduction to Dynamical Systems and ChaosSanta Fe Institute via Complexity Explorer Uso de técnicas estadísticas para el análisis de datos
Tecnológico de Monterrey via Coursera 社会人のためのデータサイエンス演習 (ga063)
MIC Ministry of Internal Affairs and Communications via gacco Problem Solving with Advanced Analytics
Udacity Análisis de Datos Experimentales: Utilidades Básicas
Universidad Politécnica de Madrid via Miríadax