Richard McElreath Courses

Statistical Rethinking 2023 - Elemental Confounds

Explore forks, pipes, colliders, descendants, and simulated interventions to understand elemental confounds in causal reasoning.

• YouTube
• 1 hour 5 minutes
• Self-Paced
• Free Video

Statistical Rethinking 2023 - Categories & Curves

Examines categorical predictors, posterior contrasts, direct effects, and curves through a Bayesian statistical modeling workflow.

• YouTube
• 1 hour 25 minutes
• Self-Paced
• Free Video

Statistical Rethinking 2023 - Geocentric Models

Introduces geocentric statistical modeling through Gaussian distributions, generative models, model notation, workflow, and analysis.

• YouTube
• 1 hour 14 minutes
• Self-Paced
• Free Video

Statistical Rethinking 2023 - The Garden of Forking Data

A visual introduction to the garden of forking data, showing how generative models, Bayesian updating, posterior distributions, and prediction connect.

• YouTube
• 1 hour 37 minutes
• Self-Paced
• Free Video

Statistical Rethinking 2022 - Horoscopes

Examines subjective responsibility, planning, reporting, and scientific reform through horoscopes for research.

• YouTube
• 1 hour 42 minutes
• Self-Paced
• Free Video

Statistical Rethinking 2022 - Generalized Linear Madness

Explores generalized linear models through geometric and state-based perspectives, connecting them to population dynamics and ordinary differential equations.

• YouTube
• 1 hour 15 minutes
• Self-Paced
• Free Video

Statistical Rethinking 2022 - Missing Data

Learn Bayesian imputation for missing and censored observations using DAGs, conceptual foundations, code, and a complete Stan example.

• YouTube
• 1 hour 18 minutes
• Self-Paced
• Free Video

Statistical Rethinking 2022 - Measurement Error

Learn how measurement error, recall error, predictor error, and misclassification affect statistical models, with examples and model coding.

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

Statistical Rethinking 2022 - Gaussian Processes

Explores Gaussian processes through spatial confounding, covariance, and applications to oceanic data and primate phylogeny.

• YouTube
• 1 hour 25 minutes
• Self-Paced
• Free Video

Statistical Rethinking - Social Networks

Explore Bayesian approaches to analyzing social networks, including reciprocal ties, generalized giving, posterior networks, dyads, triangles, and blocks.

• YouTube
• 1 hour 12 minutes
• Self-Paced
• Free Video

Statistical Rethinking 2022 - Correlated Varying Effects

Explores correlated varying effects in Bayesian models, including confounds, learned correlations, non-centered covariance, and variation within and between groups.

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

Statistical Rethinking 2022 - Multi-Multilevel Models

Explores multi-multilevel models, including multiple cluster types, multilevel predictions, divergent transitions, and non-centered priors.

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

Statistical Rethinking 2022 - Multilevel Models

Explores regularization and multilevel models through examples involving coffee, tadpoles, predators, and superstition.

• YouTube
• 1 hour 5 minutes
• Self-Paced
• Free Video

Statistical Rethinking 2022 - Ordered Categories

Builds ordered-logit models for ordinal outcomes using cumulative log-odds, Dirichlet priors, and causal reasoning about bias and confounding.

• YouTube
• 1 hour 21 minutes
• Self-Paced
• Free Video

Statistical Rethinking 2022 - Modeling Events

Learn to model event probabilities with generative models, generalized linear models, logistic and binomial regression, and marginal causal effects.

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