betanalpha / mcmc_diagnosticsLinks
Markov chain Monte Carlo general, and Hamiltonian Monte Carlo specific, diagnostics for Stan
☆86Updated 4 months ago
Alternatives and similar repositories for mcmc_diagnostics
Users that are interested in mcmc_diagnostics are comparing it to the libraries listed below
Sorting:
- Markov Chain Monte Carlo Visualization Tools☆25Updated 2 months ago
- 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
- Database with posteriors of interest for Bayesian inference☆202Updated 2 weeks ago
- Book Chapter Drafts☆33Updated 9 months ago
- Monitor MCMC runs in the browser☆36Updated last year
- Bayesian Conjugate Models in Python☆31Updated 2 weeks ago
- Pythonic interface to R's brms☆45Updated 3 years ago
- ☆56Updated 2 years ago
- BridgeStan provides efficient in-memory access through Python, Julia, and R to the methods of a Stan model.☆102Updated 2 weeks ago
- Source files for the book "Bayesian Workflow Using Stan"☆96Updated 3 years ago
- Easily combine predictions from multiple Bayesian models using techniques including (pseudo) Bayesian model averaging, hierarchical stack…☆34Updated 7 months ago
- Kullback-Leibler projections for Bayesian model selection in Python☆36Updated 2 months ago
- Reimplementation of Stan algorithms☆19Updated 3 years ago
- This is a community-driven collection of resources around amortized inference.☆43Updated 7 months ago
- R-package for building and fitting Bayesian ODE models in Stan☆27Updated 9 months ago
- Rank-normalization, folding, and localization: An improved R-hat for assessing convergence of MCMC☆32Updated 3 years ago
- A curated list of awesome Bayesian statistics blogs and resources☆22Updated last year
- ☆18Updated 2 years ago
- Self-tuning HMC algorithms and evaluations☆19Updated 8 months ago
- Simulation based calibration and generation of synthetic data.☆53Updated this week
- Bayesian Regression Models in Pyro☆72Updated 10 months ago
- 'Visualization in Bayesian workflow' by Gabry, Simpson, Vehtari, Betancourt, and Gelman. (JRSS discussion paper and code)☆66Updated 4 years ago
- Course material for the PhD course in Advanced Bayesian Learning☆59Updated 3 months ago
- Documentation for the Stan language and CmdStan☆39Updated this week
- Inference case studies in knitr☆167Updated 2 years ago
- ☆59Updated 4 months ago
- ☆30Updated 4 years ago
- ☆76Updated last year
- ☆30Updated 8 months ago
- Bayesian inference and posterior analysis for Python☆44Updated last year