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Sep 2026

Comparative analysis of robust ridge M-estimators using simulation and empirical studies

ABSTRACT In the recent studies, robust biasing parameter ‘k’ has been introduced by Naz et al. (2025) to overcome the joint problem of multicollinearity and outliers in ridge regression model. However, the presence of outliers and severe multicollinearity in the data set may have some adverse effects on the Naz estimat...

M. Khan, U. Khalil, M. Suhail et al. · 0 citations
Open access Sep 2026

A Robust Masked Painter Framework for Gene Selection in Binary Classification of High-Dimensional Functional Genomic Data

High-dimensional gene expression datasets in chemometric and biomedical research present significant challenges for machine learning because the number of genes greatly exceeds the number of available samples, increasing the risk of overfitting and reducing classification reliability. Existing gene selection methods ar...

Sehran Hassan, Alamgir, Hasnain Iftikhar et al. · 0 citations

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