Resources for people that want to go Bayesian
Page content
This is my list of resources for people that want to go Bayesian. This list is very incompleate and I plan to update it over the next couple of weeks.
Online videos and coursse
- What are Bayesian Methods? - OPRE in 60 Seconds
- Tiny Data, Approximate Bayesian Computation and the Socks of Karl Broman: Less than 20 minutes, and very easy to follow.
- Bayesian Regression Modeling with rstanarm: Very short and simple
- Ben Goodrich’s Bayesian Statistics for the Social Sciences: Semester long, totally worth it
- Richard McElreath’s Statistical Rethinking: Semester long, totally worth it
- Bayesian Data Analysis course - GSU 2023
Papers, books, vignettes, and blogs
- Bayesian data analysis for newcomers
- Speaking on Data’s Behalf: What Researchers Say and How Audiences Choose
- Why We (Usually) Don’t Have to Worry About Multiple Comparisons
- Visualization in Bayesian workflow
- Stan User’s Guide
- Bayesian Data Analysis
- Doing Bayesian Data Analysis: A Tutorial with R, JAGS, and Stan
- Data Analysis Using Regression and Multilevel/Hierarchical Models
- What works for whom? A Bayesian approach to channeling big data streams for public program evaluation
- Statistical Modeling, Causal Inference, and Social Science (Gelman’s blog)
- Moving Beyond Statistical Significance: The BASIE (BAyeSian Interpretation of Estimates) Framework for Interpreting Findings from Impact Evaluations
- Think Bayes 2: an introduction to Bayesian statistics using computational methods
