Predictive Subgroup Logistic Regression for Classification with Unobserved Heterogeneity

Unobserved heterogeneity refers to the variation among subjects that is not accounted for by the observed features used in a model. Its presence poses a substantial challenge to statistical modeling. This study introduces the Predictive Subgroup Logistic Regression (PSLR) model, which extends the co...

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Veröffentlicht in:	Statistics and computing Jg. 35; H. 6
Hauptverfasser:	Chen, Kun, Huang, Rui, Tong, Zhiwei
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Springer US 01.12.2025 Springer Nature B.V
Schlagworte:	Artificial Intelligence Classification Computer Science Heterogeneity Original Paper Probability and Statistics in Computer Science Regression Regression analysis Statistical analysis Statistical models Statistical Theory and Methods Statistics and Computing/Statistics Programs Subgroups Telecommunications industry Churn modeling Concave pairwise fusion Penalized likelihood estimation ADMM Unobserved heterogeneity
ISSN:	0960-3174, 1573-1375
Online-Zugang:	Volltext
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