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stat.ME2022
Unsupervised Liu-type Shrinkage Estimators for Mixture of Regression Models
Elsayed Ghanem, Armin Hatefi, Hamid Usefi
In many applications (e.g., medical studies), the population of interest (e.g., disease status) comprises heterogeneous subpopulations. The mixture of probabilistic regression mode…
stat.ME2022
Liu-type Shrinkage Estimators for Mixture of Logistic Regressions: An Osteoporosis Study
Elsayed Ghanem, Armin Hatefi, Hamid Usefi
The logistic regression model is one of the most powerful statistical methods for the analysis of binary data. The logistic regression allows to use a set of covariates to explain…
gr-qc2022★ 7 cited
Nonlinear Statistical Spline Smoothers for Critical Spherical Black Hole Solutions in 4-dimension
Ehsan Hatefi, Armin Hatefi
This paper focuses on self-similar gravitational collapse solutions of the Einstein--axion-dilaton configuration for two conjugacy classes of SL(2, R) transformations. These soluti…