arviz-devs / EABMLinks
Source repository for the online book Exploratory Analysis of Bayesian Models.
☆24Updated last week
Alternatives and similar repositories for EABM
Users that are interested in EABM are comparing it to the libraries listed below
Sorting:
- Simulation based calibration and generation of synthetic data.☆53Updated last week
- Bayesian Conjugate Models in Python☆31Updated 2 weeks ago
- Bayesian Regression Models in Pyro☆72Updated 11 months ago
- Educational resources☆104Updated 3 years ago
- ☆72Updated 6 years ago
- ☆11Updated 7 months ago
- Bayesian inference and posterior analysis for Python☆44Updated last year
- A curated list of awesome Bayesian statistics blogs and resources☆22Updated last year
- An interactive visualization tool that transforms probabilistic programming models into an "Interactive Probabilistic Models Explorer".☆24Updated last year
- Tool for exploring probability distributions.☆23Updated 6 months ago
- ☆18Updated 2 years ago
- Formulas for mixed-effects models in Python☆61Updated 4 months ago
- A system for Bayesian estimation of state space models using PyMC☆33Updated last year
- Gaussian Process Model Building Interface☆51Updated 3 months ago
- Exploring and eliciting probability distributions☆139Updated last week
- Compares Stan, PyMC, and PyMC + JAX numpyro sampler on a model for tennis☆32Updated 2 years ago
- Kullback-Leibler projections for Bayesian model selection in Python☆36Updated 2 months ago
- Hidden Markov models in PyMC3☆99Updated last year
- Data for and description of the ACIC 2023 data competition☆32Updated 2 years ago
- Book Chapter Drafts☆33Updated 9 months ago
- ArviZ modular plotting☆18Updated last week
- ☆30Updated 8 months ago
- Powerful add-ons for PyMC☆105Updated this week
- Course material for the PhD course in Advanced Bayesian Learning☆59Updated 3 months ago
- Home for the computational inference reading group.☆17Updated 5 years ago
- Markov chain Monte Carlo general, and Hamiltonian Monte Carlo specific, diagnostics for Stan☆86Updated 4 months ago
- Rank-normalization, folding, and localization: An improved R-hat for assessing convergence of MCMC☆32Updated 3 years ago
- Easily combine predictions from multiple Bayesian models using techniques including (pseudo) Bayesian model averaging, hierarchical stack…☆34Updated 7 months ago
- ☆118Updated this week
- A Beginner's Guide to Variational Inference☆15Updated 2 months ago