stan-dev / posteriordbLinks
Database with posteriors of interest for Bayesian inference
☆212Updated 4 months ago
Alternatives and similar repositories for posteriordb
Users that are interested in posteriordb are comparing it to the libraries listed below
Sorting:
- Markov chain Monte Carlo general, and Hamiltonian Monte Carlo specific, diagnostics for Stan☆89Updated 6 months ago
- Bayesian Regression Models in Pyro☆74Updated last year
- BridgeStan provides efficient in-memory access through Python, Julia, and R to the methods of a Stan model.☆107Updated last week
- Inference case studies in knitr☆171Updated 3 years ago
- Bayesian inference and posterior analysis for Python☆46Updated 2 years ago
- ☆56Updated 3 years ago
- ☆18Updated 3 years ago
- Course material for the PhD course in Advanced Bayesian Learning☆60Updated 10 months ago
- Kullback-Leibler projections for Bayesian model selection in Python☆40Updated 2 weeks ago
- CmdStanPy is a lightweight interface to Stan for Python users which provides the necessary objects and functions to compile a Stan progra…☆188Updated last month
- Exploring and eliciting probability distributions☆161Updated 2 weeks ago
- Efficient, lightweight variational inference and approximation bounds☆46Updated 3 months ago
- Some teaching material and other educational resources☆41Updated 4 months ago
- Source files for the book "Bayesian Workflow Using Stan"☆97Updated 4 years ago
- A simple library to run variational inference on Stan models.☆33Updated 2 years ago
- Easily combine predictions from multiple Bayesian models using techniques including (pseudo) Bayesian model averaging, hierarchical stack…☆37Updated 3 weeks ago
- Python wrapper for nuts-rs☆184Updated this week
- A python package for learning prior distributions based on expert knowledge☆15Updated 2 months ago
- Simulation based calibration and generation of synthetic data.☆56Updated 2 months ago
- Bayesian Conjugate Models in Python☆36Updated last week
- some scripts for the couplings enthusiasts!☆32Updated 5 years ago
- Draft introduction to probability and inference aimed at the Stan manual.☆84Updated 9 years ago
- Monitor MCMC runs in the browser☆38Updated last year
- CmdStan, the command line interface to Stan☆235Updated last week
- Probability and Statistics: a simulation-based introduction. An open-access book.☆322Updated 2 years ago
- 'Visualization in Bayesian workflow' by Gabry, Simpson, Vehtari, Betancourt, and Gelman. (JRSS discussion paper and code)☆67Updated 5 years ago
- Pareto smoothed importance sampling (PSIS) and PSIS leave-one-out cross-validation for Python and Matlab/Octave☆79Updated last year
- probabilistic programming focused on fun☆49Updated last week
- Step size adaptation for the No-U-Turn Sampler☆26Updated last month
- Case studies on model assessment, model selection and inference after model selection☆170Updated 2 years ago