A New Computational Algorithm for Assessing Overdispersion and Zero-Inflation in Machine Learning Count Models with Python

This article provides an overview of count data and count models, explores zero inflation, introduces likelihood ratio tests, and explains how the Vuong test can be used as a model selection criterion for assessing overdispersion. The motivation of this work was to create a Vuong test implementation...

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Bibliographic Details
Published in:	Computers (Basel) Vol. 13; no. 4; p. 88
Main Authors:	Fávero, Luiz Paulo Lopes, Duarte, Alexandre, Santos, Helder Prado
Format:	Journal Article
Language:	English
Published:	Basel MDPI AG 01.04.2024
Subjects:	Algorithms count data Data analysis Data mining Dispersion measures (Statistics) Generalized linear models Likelihood ratio Machine learning Methods negative binomial regression overdispersion Poisson regression Programming languages Python Python (Programming language) Statistical tests Variables Brazil
ISSN:	2073-431X, 2073-431X
Online Access:	Get full text
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