For More posts on Bayesian models, Bayesian Nonparametrics, and causal inference follow me on twitter @stablemarkets.
My advisor and his collaborator are teaching a short course on Bayesian Nonparametric Methods for Causal Inference at JSM next week.
As part of the short course, I made an interactive tutorial on Dirichlet Processes using R Shiny.
All underlying code is hosted on GitHub – you can also run locally from GitHub by running the code below. This local version may be faster if there are too many users on the web version.
shiny::runGitHub('jasonroy0/BNP-short-course/', username = 'jasonroy0', subdir = 'DP ShinyApp/DPMixApp/')
Please open an issue on GitHub if you see any bugs. Thanks and enjoy!