arviz-devs / Exploratory-Analysis-of-Bayesian-Models
Source repository for the online book Exploratory Analysis of Bayesian Models.
☆20Updated last week
Alternatives and similar repositories for Exploratory-Analysis-of-Bayesian-Models:
Users that are interested in Exploratory-Analysis-of-Bayesian-Models are comparing it to the libraries listed below
- Simulation based calibration and generation of synthetic data.☆49Updated this week
- ☆72Updated 6 years ago
- Gaussian Process Model Building Interface☆50Updated last week
- Formulas for mixed-effects models in Python☆58Updated last month
- A comparison of PPL APIs☆27Updated 5 years ago
- An interactive visualization tool that transforms probabilistic programming models into an "Interactive Probabilistic Models Explorer".☆24Updated 9 months ago
- Tool for exploring probability distributions.☆24Updated 3 months ago
- Book Chapter Drafts☆28Updated 6 months ago
- ☆10Updated 4 months ago
- ☆18Updated 2 years ago
- Educational resources☆104Updated 3 years ago
- A curated list of awesome Bayesian statistics blogs and resources☆22Updated last year
- ☆41Updated 3 years ago
- Bayesian inference and posterior analysis for Python☆44Updated last year
- Course in Probabilistic Programming in Python for the 2018 EU Summer School☆23Updated 6 years ago
- Bayesian Regression Models in Pyro☆71Updated 7 months ago
- Compares Stan, PyMC, and PyMC + JAX numpyro sampler on a model for tennis☆33Updated 2 years ago
- Home for the computational inference reading group.☆17Updated 4 years ago
- Inference case studies in jupyter☆93Updated 6 years ago
- Python implementation of plot from Kay, Kola, Hullman, Munson "When (ish) is My Bus?" (2016)☆18Updated 5 years ago
- Hidden Markov models in PyMC3☆99Updated last year
- A `select` accessor for easier subsetting of pandas DataFrames and Series☆34Updated last year
- Presented at Scipy Conference 2019☆125Updated 4 years ago
- Define Stan models in jupyter notebook cells using magics☆21Updated 5 years ago
- Low rank adaptation of covariance matrices for nuts sampling in pymc3☆14Updated 2 years ago
- AeMCMC is a Python library that automates the construction of samplers for Aesara graphs representing statistical models.☆39Updated last year
- Website: Data Umbrella & PyMC open source sessions☆26Updated 9 months ago
- Bayesian Conjugate Models in Python☆25Updated this week
- ☆27Updated 5 months ago