Published September 21, 2023
| Version 0.3.4
Software
Open
PreliZ: A tool-box for prior elicitation
Authors/Creators
- 1. IMASL-CONICET
- 2. Department of Computer Science, University of Helsinki, Finland
Description
In a Bayesian modeling workflow, a prior distribution can be chosen in different ways as long as it captures the uncertainty about model parameters prior to observing any data. Particularly, prior elicitation refers to the process of transforming the knowledge of a particular domain into well-defined probability distributions. Here we introduce PreliZ, a Python package aimed at helping practitioners to choose prior distributions.
Files
arviz-devs/preliz-0.3.4.zip
Files
(23.8 MB)
| Name | Size | Download all |
|---|---|---|
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md5:74b34cabb13c5b9042dea75ac3fd85cb
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Additional details
Related works
- Is supplement to
- https://github.com/arviz-devs/preliz/tree/0.3.4 (URL)