Richard McElreath Courses

Statistical Rethinking 2022

Master Bayesian inference, multilevel modeling, and causal reasoning through practical statistical methods that avoid common pitfalls in data analysis and research design.

• YouTube
• 1 day 46 minutes
• Self-Paced
• Free Video

Statistical Rethinking 2026 - Social Networks II - Lecture B05

Dive into advanced social network analysis techniques and statistical modeling approaches for understanding complex relational data structures.

• YouTube
• 1 hour 3 minutes
• Self-Paced
• Free Video

Statistical Rethinking 2026 - Multilevel Model Expansion - Lecture B02

Explore advanced multilevel modeling techniques and their practical applications in statistical analysis and data interpretation.

• YouTube
• 1 hour 11 minutes
• Self-Paced
• Free Video

Statistical Rethinking 2026 - Geocentric Models - Lecture A03

Explore geocentric models in statistical thinking through hands-on analysis and theoretical foundations with practical applications.

• YouTube
• 1 hour 1 minute
• Self-Paced
• Free Video

Statistical Rethinking 2026 - Categories and Causes - Lecture A04

Explore categorical variables and causal inference in Bayesian statistics through practical modeling techniques and real-world applications.

• YouTube
• 1 hour 3 minutes
• Self-Paced
• Free Video

Statistical Rethinking 2026 - Estimands and Estiplans - Lecture A05

Discover the fundamental concepts of estimands and estimation plans in statistical modeling and causal inference methodology.

• YouTube
• 1 hour 3 minutes
• Self-Paced
• Free Video

Statistical Rethinking 2026 - Introduction to Bayesian Workflow - Lecture A01

Discover Bayesian workflow fundamentals through statistical rethinking principles and practical methodology for data analysis and inference.

• YouTube
• 1 hour 1 minute
• Self-Paced
• Free Video

Statistical Rethinking 2026 - Garden of Forking Data - Lecture A02

Explore Bayesian reasoning through the garden of forking data metaphor to understand how statistical models update beliefs with new evidence.

• YouTube
• 1 hour
• Self-Paced
• Free Video

Statistical Rethinking - Adventures in Covariance - Lecture B03

Explore advanced covariance concepts and their statistical applications through hands-on examples and practical problem-solving techniques.

• YouTube
• 57 minutes
• Self-Paced
• Free Video

Statistical Rethinking - Gaussian Processes - Lecture B06

Explore Gaussian processes for flexible non-parametric modeling and spatial correlation analysis in Bayesian statistics.

• YouTube
• 1 hour
• Self-Paced
• Free Video

Statistical Rethinking - Elemental Confounds I - Lecture A06

Uncover how confounding variables distort causal inference and learn systematic approaches to identify and address these fundamental statistical challenges.

• YouTube
• 1 hour 2 minutes
• Self-Paced
• Free Video

Statistical Rethinking 2026 - MCMC and Item Response Models - Lecture A08

Explore MCMC techniques and item response models for advanced statistical analysis and Bayesian inference applications.

• YouTube
• 1 hour 8 minutes
• Self-Paced
• Free Video

Statistical Rethinking - Good and Bad Controls - Lecture A07

Discover how to identify and apply appropriate statistical controls while avoiding common pitfalls that can bias your causal inferences and research conclusions.

• YouTube
• 1 hour 1 minute
• Self-Paced
• Free Video

Statistical Rethinking - Measurement Models - Lecture B07

Explore measurement models in Bayesian statistics to handle uncertainty and error in data collection and analysis.

• YouTube
• 1 hour
• Self-Paced
• Free Video

Statistical Rethinking 2026 - Group-Level Confounding and Intro to Social Networks - Lecture B04

Explore group-level confounding effects and social network analysis fundamentals in statistical modeling and causal inference.

• YouTube
• 59 minutes
• Self-Paced
• Free Video