A tool-box for prior elicitation.
A tool-box for prior elicitation.
Prior elicitation refers to the process of transforming the knowledge of a particular domain into well-defined probability distributions. Specifying useful priors is a central aspect of Bayesian statistics. PreliZ is a Python package aimed at helping practitioners choose prior distributions by offering a set of tools for the various facets of prior elicitation. It covers a range of methods, from unidimensional prior elicitation on the parameter space to predictive elicitation on the observed space. The goal is to be compatible with probabilistic programming languages (PPL) in the Python ecosystem like PyMC and PyStan, while remaining agnostic of any specific PPL.
The PreliZ documentation can be found in the official docs.
PreliZ is available for installation from PyPI. The latest version (base set of dependencies) can be installed using pip:
pip install preliz
To make use of the interactive features, you can install the optional dependencies:
pip install "preliz[full,lab]"
pip install "preliz[full,notebook]"
The latest development version can be installed from the main branch using pip:
pip install git+git://github.com/arviz-devs/preliz.git
If you find PreliZ useful in your work, we kindly request that you cite the following paper:
@article{Icazatti_2023,
author = {Icazatti, Alejandro and Abril-Pla, Oriol and Klami, Arto and Martin, Osvaldo A},
doi = {10.21105/joss.05499},
journal = {Journal of Open Source Software},
month = sep,
number = {89},
pages = {5499},
title = {{PreliZ: A tool-box for prior elicitation}},
url = {https://joss.theoj.org/papers/10.21105/joss.05499},
volume = {8},
year = {2023}
}
PreliZ is a community project and welcomes contributions. Additional information can be found in the Contributing Readme
PreliZ wishes to maintain a positive community. Additional details can be found in the Code of Conduct
PreliZ, as other ArviZ-devs projects, is a non-profit project under the NumFOCUS umbrella. If you want to support PreliZ financially, you can donate here.