Bayesian Workflow book: Resources

Related books on Bayesian methods and modeling

• Gelman, Carlin, Stern, Dunson, Vehtari and Rubin (2013). Bayesian Data Analysis, Third Edition. Chapman and Hall/CRC.
  • The book web page.
    
  • Electronic edition for non-commercial purposes only.
    
  • Buy the book.
• McElreath (2020). Statistical Rethinking, Second Edition. Chapman and Hall.
  • The book web page.
  • Buy the book.
• Gelman, Hill and Vehtari (2020). Regression and other stories. Cambridge University Press.
  
  • The book web page.
  • Electronic edition for non-commercial purposes only.
    
  • Buy the book.
• Gelman and Vehtari (2024). Active Statistics. Cambridge University Press.
  • The book web page.
  • Electronic edition for non-commercial purposes only.
  • Buy the book

Related case studies

• Motorcycle: Demonstration of benefits of integration in Bayesian inference with Gaussian processes with heteroscedastic noise model and Hilbert basis function and covariance matrix implementations.
• Disc golf putting: Extends the ball golf putting model with an additional dimension and a distance-dependent component. Also illustrates the use of distances known only within some interval.
• Jacobian: Illustration of Laplace method and Jacobian of parameter transformation.

R programming and visualization with R

• For R programming basics see Appendix A of Regression and Other Stories.
• For learning more about R programming we recommend
  • Garrett Grolemund, Hands-On Programming with R
• For learning more about basic and advanced plotting using R we recommend
  • Kieran Healy, Data Visualization - A practical introduction
  • Antony Unwin, Graphical Data Analysis with R
• Further ideas for visualization
  • ggdist: Visualizations of distributions and uncertainty
  • tidybayes: Bayesian analysis + tidy data + geoms
  • Claus O. Wilke, Fundamentals of Data Visualization

Related software

• Stan
• CmdStanR
• brms
• rstanarm
• bayesplot
• loo
• posterior
• priorsense
• projpred
• ggdist
• ArviZ