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Essoham Ali on Muck Rack

Essoham Ali

As seen in: Taylor & Francis Online
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Articles

Marginal effects for zero-inflated semi-continuous data

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By Essoham Ali, ALIOU DIOP, Agnondji Gnon Siya
| Taylor & Francis Online
Zero-inflated semi-continuous data are common in various fields such as medicine, economics, and social sciences, where the outcome distribution consists of a point mass at zero and a positive continuous distribution. This work employs marginalized zero inflated gamma regression and marginalized zero inflated Log-normal regression models to analyze semi-continuous data with zero inflation.
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Ridge-penalized Zero-Inflated Probit Bell model for multicollinearity in count data

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By Adewale F. Lukman, Essoham Ali
| Taylor & Francis Online
Advanced search Journal of Applied Statistics Latest Articles Submit an article Journal homepage Full Article Figures & data References Citations Metrics Reprints & Permissions Read this article /doi/full/10.1080/02664763.2025.2530551?needAccess=true Abstract This article develops a ridge estimator for the Zero-Inflated Probit Bell (ZIPBell) regression model. The ZIPBell model adapts the Zero-Inflated Bell (ZIBell) model originally proposed by Lemonte et al.
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