bob-carpenter / stan-getting-started
A quarto notebook introducing Stan in Python (and maybe R).
☆16Updated last year
Alternatives and similar repositories for stan-getting-started:
Users that are interested in stan-getting-started are comparing it to the libraries listed below
- Towards a more flexible BART☆22Updated 6 months ago
- Markov chain Monte Carlo general, and Hamiltonian Monte Carlo specific, diagnostics for Stan☆82Updated last month
- Pythonic interface to R's brms☆44Updated 2 years ago
- Monitor MCMC runs in the browser☆36Updated last year
- A web app to visualize distributions in Stan. Uses Stan Math C++ compiled to Webassembly to evaluate the functions using actual Stan impl…☆44Updated 2 years ago
- ☆54Updated 2 years ago
- Easily combine predictions from multiple Bayesian models using techniques including (pseudo) Bayesian model averaging, hierarchical stack…☆34Updated 3 months ago
- Rank-normalization, folding, and localization: An improved R-hat for assessing convergence of MCMC☆31Updated 3 years ago
- Case studies in applied and computational statistics.☆36Updated 3 months ago
- Some teaching material and other educational resources☆41Updated 4 months ago
- Gaussian processes on graphs and lattices in Stan and pytorch.☆16Updated 2 months ago
- ☆18Updated 2 years ago
- Reimplementation of Stan algorithms☆20Updated 3 years ago
- ☆8Updated 3 years ago
- stan2tfp is a lightweight interface to the TensorFlow Probability backend of the Stan compiler. It provides the necessary objects and fun…☆24Updated 3 years ago
- Course materials of "Bayesian Modelling and Probabilistic Programming with Numpyro, and Deep Generative Surrogates for Epidemiology"☆57Updated 3 weeks ago
- ☆27Updated 4 months ago
- Documentation for the Stan language and CmdStan☆38Updated this week
- R-package for interpretable nonparametric modeling of longitudinal data using additive Gaussian processes. Contains functionality for in…☆25Updated 5 months ago
- Implementation of B-Splines in Stan☆52Updated 7 years ago
- Materials for StanCon 2023☆24Updated last year
- Bayesian inference and posterior analysis for Python☆44Updated last year
- Tools for automatically generating local sensitivity measures in Stan.☆35Updated 4 years ago
- BridgeStan provides efficient in-memory access through Python, Julia, and R to the methods of a Stan model.☆96Updated 2 weeks ago
- Book Chapter Drafts☆28Updated 5 months ago
- A primer on Hidden Markov Models using Stan. A Case Study submitted as a candidate for a contributed talk in StanCon 2018. Under review.☆31Updated 7 years ago
- Kullback-Leibler projections for Bayesian model selection in Python☆31Updated last month
- Notebooks and data for StanCon2023 tutorial on BRMS☆16Updated last year
- Beginner tutorial for using cmdstan with multithreading☆61Updated 4 years ago
- R-package for building and fitting Bayesian ODE models in Stan☆26Updated 5 months ago