Causalvis: Visualizations for Causal Inference

Causal inference is a statistical paradigm for quantifying causal effects using observational data. It is a complex process, requiring multiple steps, iterations, and collaborations with domain experts. Analysts often rely on visualizations to evaluate the accuracy of each step. However, existing vi...

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Bibliographic Details

Published in:	arXiv.org
Main Authors:	Guo, Grace, Karavani, Ehud, Endert, Alex, Kwon, Bum Chul
Format:	Paper
Language:	English
Published:	Ithaca Cornell University Library, arXiv.org 01.03.2023
Subjects:	Iterative methods Modules Statistical inference Visualization
ISSN:	2331-8422
Online Access:	Get full text
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