betanalpha / quarto_chaptersLinks
Book Chapter Drafts
☆37Updated last year
Alternatives and similar repositories for quarto_chapters
Users that are interested in quarto_chapters are comparing it to the libraries listed below
Sorting:
- Markov chain Monte Carlo general, and Hamiltonian Monte Carlo specific, diagnostics for Stan☆89Updated 3 weeks ago
- Markov Chain Monte Carlo Visualization Tools☆25Updated 3 weeks ago
- Course material for the PhD course in Advanced Bayesian Learning☆60Updated 11 months ago
- BridgeStan provides efficient in-memory access through Python, Julia, and R to the methods of a Stan model.☆110Updated 3 weeks ago
- R-package for building and fitting Bayesian ODE models in Stan☆29Updated last year
- Monitor MCMC runs in the browser☆37Updated last year
- Kullback-Leibler projections for Bayesian model selection in Python☆40Updated last month
- ☆18Updated 3 years ago
- Easily combine predictions from multiple Bayesian models using techniques including (pseudo) Bayesian model averaging, hierarchical stack…☆37Updated last month
- Database with posteriors of interest for Bayesian inference☆212Updated this week
- Course materials of "Bayesian Modelling and Probabilistic Programming with Numpyro, and Deep Generative Surrogates for Epidemiology"☆70Updated 11 months ago
- Rank-normalization, folding, and localization: An improved R-hat for assessing convergence of MCMC☆32Updated 4 years ago
- Self-tuning HMC algorithms and evaluations☆19Updated last year
- Source repository for the online book Exploratory Analysis of Bayesian Models.☆25Updated this week
- ☆24Updated 3 years ago
- Python package for multi-signal Bayesian renewal modeling with JAX and NumPyro.☆25Updated last week
- ☆57Updated 3 years ago
- Bayesian inference and posterior analysis for Python☆46Updated 2 years 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 3 years ago
- A Beginner's Guide to Variational Inference☆18Updated 9 months ago
- Pythonic interface to R's brms☆45Updated 3 years ago
- A sklearn style interface to Stan regression models☆26Updated last year
- Home for the book-in-progress 'Bayesian Learning'☆28Updated 3 months ago
- Documentation for the Stan language and CmdStan☆42Updated last week
- Gaussian processes on graphs and lattices in Stan.☆19Updated 10 months ago
- This is a community-driven collection of resources around amortized inference.☆56Updated 2 weeks ago
- Repo for code from the SBC paper☆24Updated 6 years ago
- Code for utilising VAE as means of doing exact MCMC inference in complex high-dimensional space☆14Updated 2 years ago
- A simple library to run variational inference on Stan models.☆33Updated 2 years ago
- A batteries-included template for Bayesian data analysis projects☆22Updated last year