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A. Mousa

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Open access Sep 2026

Development of Penalized Estimation for Conway-Maxwell-Poisson Regression under Multicollinearity and High Dimensionality

Modern count data applications are increasingly characterized by dispersion, high dimensionality, and strong predictor dependence, conditions under which maximum likelihood estimation for Conway--Maxwell--Poisson (COM-Poisson) regression becomes unstable and prone to severe overfitting. The purpose of this study is to...

I. M. Taha, M. Abonazel, A. Mousa · 0 citations

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