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YouTube

Statistical Rethinking 2023

via YouTube

Overview

This course aims to provide a comprehensive understanding of statistical models and their applications, focusing on critical thinking and reevaluation of statistical methods. It covers a range of topics including model fitting, Markov Chain Monte Carlo, multilevel models, and Gaussian processes, among others. The teaching method involves a series of lectures that delve into both theoretical and practical aspects of statistics. The intended audience includes students and professionals in the field of statistics or those with an interest in advanced statistical techniques and model evaluation.

Syllabus

Statistical Rethinking 2023 - 01 - The Golem of Prague
Statistical Rethinking 2023 - 02 - The Garden of Forking Data
Statistical Rethinking 2023 - 03 - Geocentric Models
Statistical Rethinking 2023 - 04 - Categories & Curves
Statistical Rethinking 2023 - 05 - Elemental Confounds
Statistical Rethinking 2023 - 06 - Good & Bad Controls
Statistical Rethinking 2023 - 07 - Fitting Over & Under
Statistical Rethinking 2023 - 08 - Markov Chain Monte Carlo
Statistical Rethinking 2023 - 09 - Modeling Events
Statistical Rethinking 2023 - 10 - Counts & Hidden Confounds
Statistical Rethinking 2023 - 11 - Ordered Categories
Statistical Rethinking 2023 - 12 - Multilevel Models
Statistical Rethinking 2023 - 13 - Multilevel Adventures
Statistical Rethinking 2023 - 14 - Correlated Features
Statistical Rethinking 2023 - 15 - Social Networks
Statistical Rethinking 2023 - 16 - Gaussian Processes
Statistical Rethinking 2023 - 17 - Measurement & Misclassification
Statistical Rethinking 2023 - 18 - Missing Data
Statistical Rethinking 2023 - 19 - Generalized Linear Madness
Statistical Rethinking 2023 - 20 - Horoscopes

Taught by

Richard McElreath

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