From f25da8192584675a14e8874cb2ef0035b8af18d5 Mon Sep 17 00:00:00 2001 From: Osvaldo A Martin Date: Fri, 13 Sep 2024 19:57:50 -0300 Subject: [PATCH] Add reference to PriorDB (#535) --- README.md | 2 ++ docs/index.rst | 5 ++++- 2 files changed, 6 insertions(+), 1 deletion(-) diff --git a/README.md b/README.md index adc6dda3..ae700618 100644 --- a/README.md +++ b/README.md @@ -13,6 +13,8 @@ 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. +A good companion for PreliZ is [PriorDB](https://n-kall.github.io/priorDB/), a database of prior distributions for Bayesian analysis. It is a community-driven project that aims to provide a comprehensive collection of prior distributions for a wide range of models and applications. + ### The Zen of PreliZ * Being open source, community-driven, diverse and inclusive. * Avoid fully-automated solutions, keep the human in the loop. diff --git a/docs/index.rst b/docs/index.rst index b0a8a6b9..79a88b88 100644 --- a/docs/index.rst +++ b/docs/index.rst @@ -32,6 +32,8 @@ distributions by offering a set of tools for the various facets of prior elicita 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. +A good companion for PreliZ is `PriorDB `_, a database of prior distributions for Bayesian analysis. +It is a community-driven project that aims to provide a comprehensive collection of prior distributions for a wide range of models and applications. The Zen of PreliZ ----------------- @@ -50,7 +52,8 @@ The Zen of PreliZ Dependencies ============ -PreliZ is tested on Python 3.10+. And depends on ArviZ, matplotlib, NumPy, and SciPy. See [pyproject.toml](https://github.com/arviz-devs/preliz/blob/main/pyproject.toml) for version information. +PreliZ is tested on Python 3.10+. And depends on ArviZ, matplotlib, NumPy, and SciPy. See `pyproject.toml `_ for version information. + Installation