Statistical Rethinking 2023 - Multilevel Models
Offered By: Richard McElreath via YouTube
Course Description
Overview
Dive into an in-depth lecture on multilevel models in statistical analysis. Explore concepts such as partial pooling, hyperparameter tuning through cross-validation, and learning hyperparameters. Examine the Reedfrogs case study to understand practical applications. Gain insights into summary techniques and future perspectives in the field. As a bonus, discover Mundlak machines and their relevance to multilevel modeling. Enhance your understanding of advanced statistical concepts and their real-world implementations in this comprehensive presentation by Richard McElreath.
Syllabus
Introduction
Multilevel models
Partial pooling
Reedfrogs
Hyperparameter tuning through crossvalidation
Pause
Learning the hyperparameter
Summary and outlook
BONUS Mundlak machines
Taught by
Richard McElreath
Related Courses
Social Network AnalysisUniversity of Michigan via Coursera Intro to Algorithms
Udacity Data Analysis
Johns Hopkins University via Coursera Computing for Data Analysis
Johns Hopkins University via Coursera Health in Numbers: Quantitative Methods in Clinical & Public Health Research
Harvard University via edX