bob-carpenter / prob-statsLinks
Probability and Statistics: a simulation-based introduction. An open-access book.
☆321Updated 2 years ago
Alternatives and similar repositories for prob-stats
Users that are interested in prob-stats are comparing it to the libraries listed below
Sorting:
- Inference case studies in knitr☆169Updated 3 years ago
- Materials from Stan conferences☆255Updated 4 years ago
- Regression and other stories R examples☆343Updated 4 months ago
- Case studies on model assessment, model selection and inference after model selection☆170Updated last year
- Solutions for the practice problems☆146Updated 5 years ago
- One day course on causal inference, MPI-EVA 9 September 2021☆249Updated 3 years ago
- Draft introduction to probability and inference aimed at the Stan manual.☆85Updated 9 years ago
- Database with posteriors of interest for Bayesian inference☆210Updated last month
- Source files for the book "Bayesian Workflow Using Stan"☆96Updated 3 years ago
- The bookdown version lives here: https://bookdown.org/content/3890☆412Updated 2 years ago
- Stan models for state space time series☆146Updated 8 years ago
- Bayesian Data Analysis demos for R☆585Updated 3 weeks ago
- R-script for generating canonical diagrams of distributions to be used to describe Bayesian hierarchical models.☆410Updated 6 years ago
- Library of Stan Models for Survival Analysis☆124Updated 5 years ago
- Common statistical tests are linear models (or: how to teach stats)☆505Updated last year
- rstanarm R package for Bayesian applied regression modeling☆399Updated last week
- loo R package for approximate leave-one-out cross-validation (LOO-CV) and Pareto smoothed importance sampling (PSIS)☆156Updated this week
- Projection predictive variable selection☆112Updated 3 weeks ago
- bayesplot R package for plotting Bayesian models☆438Updated last month
- Educational resources☆104Updated 3 years ago
- CmdStan, the command line interface to Stan☆229Updated this week
- 'Visualization in Bayesian workflow' by Gabry, Simpson, Vehtari, Betancourt, and Gelman. (JRSS discussion paper and code)☆66Updated 4 years ago
- Inference case studies in jupyter☆93Updated 6 years ago
- Tutorial files to accompany Sorensen, Hohenstein, and Vasishth paper: http://www.ling.uni-potsdam.de/~vasishth/statistics/BayesLMMs.html☆83Updated 9 years ago
- A Visual Introduction to Hierarchical Modeling☆292Updated 5 years ago
- Example models for Stan☆787Updated 5 months ago
- An interactive online reading of McElreath's Statistical Rethinking☆125Updated 7 years ago
- Drawing graphical models for causal inference using LaTeX☆118Updated 2 years ago
- App to view distribution properties and access dynamic code in R, Python, Matlab, Mathematica, Julia and Stan☆91Updated last year
- Inside every classical test there is a Bayesian model trying to get out.☆327Updated 9 years ago