LedgerInvesting / bayesblendLinks
Easily combine predictions from multiple Bayesian models using techniques including (pseudo) Bayesian model averaging, hierarchical stacking, and more!
☆37Updated last year
Alternatives and similar repositories for bayesblend
Users that are interested in bayesblend are comparing it to the libraries listed below
Sorting:
- Python package for multi-signal Bayesian renewal modeling with JAX and NumPyro.☆22Updated last week
- Markov chain Monte Carlo general, and Hamiltonian Monte Carlo specific, diagnostics for Stan☆88Updated 4 months ago
- Monitor MCMC runs in the browser☆37Updated last year
- Towards a more flexible BART☆22Updated this week
- Kullback-Leibler projections for Bayesian model selection in Python☆40Updated 2 weeks ago
- ☆18Updated 2 years ago
- ☆31Updated 5 years ago
- R-package for building and fitting Bayesian ODE models in Stan☆29Updated last year
- ☆78Updated last month
- stan2tfp is a lightweight interface to the TensorFlow Probability backend of the Stan compiler. It provides the necessary objects and fun…☆25Updated 3 years ago
- Source files for the book "Bayesian Workflow Using Stan"☆96Updated 4 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 6 months ago
- ☆56Updated 3 years ago
- Course materials of "Bayesian Modelling and Probabilistic Programming with Numpyro, and Deep Generative Surrogates for Epidemiology"☆70Updated 8 months ago
- ☆30Updated last year
- BridgeStan provides efficient in-memory access through Python, Julia, and R to the methods of a Stan model.☆105Updated this week
- Database with posteriors of interest for Bayesian inference☆210Updated 2 months ago
- Building a Survival Model in Stan.☆57Updated 2 years ago
- Bayesian Conjugate Models in Python☆32Updated this week
- 'Visualization in Bayesian workflow' by Gabry, Simpson, Vehtari, Betancourt, and Gelman. (JRSS discussion paper and code)☆66Updated 5 years ago
- code and demo for hierarchical stacking paper☆10Updated 4 years ago
- Pythonic interface to R's brms☆45Updated 3 years ago
- Course material for the PhD course in Advanced Bayesian Learning☆59Updated 8 months ago
- Applied time series analysis in R with Stan. Allows fast Bayesian fitting of multivariate time-series models.☆48Updated last year
- Bayesian Generalized Linear Models with Time-Varying Coefficients☆45Updated last year
- ArviZ modular plotting☆19Updated this week
- Rlgt is an R package for Bayesian Exponential Smoothing☆22Updated 6 months ago
- Draft introduction to probability and inference aimed at the Stan manual.☆83Updated 9 years ago
- Data for and description of the ACIC 2023 data competition☆32Updated 2 years ago