ArviZ: a modular and flexible library for exploratory analysis of Bayesian models

20260 citationsOthergreen Open Access

Authors

Osvaldo A. Martin · Aalto University

O Abril · Arvinas (United States)

Jordan Deklerk · German Sport University Cologne

Seth Denton Axen · University of Tübingen

Colin Carroll · Arvinas (United States)

Ari Hartikainen · Arvinas (United States)

Aki Vehtari ·

Abstract

ArviZ is a modular and flexible Python library implementing methods grounded in well-established statistical principles and providing robust, interpretable diagnostics and visualizations for Bayesian workflow.

Topics & Keywords

Publication Details

Published in: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.18837208

Command Palette

ArviZ: a modular and flexible library for exploratory analysis of Bayesian models

Authors

Abstract

Topics & Keywords

Publication Details