On Ridge Parameters in Logistic Regression
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Publication:3100657
DOI10.1080/03610926.2010.500111zbMath1225.62098OpenAlexW1990655238MaRDI QIDQ3100657
Kristofer Månsson, Ghazi Shukur
Publication date: 18 November 2011
Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/03610926.2010.500111
Ridge regression; shrinkage estimators (Lasso) (62J07) Generalized linear models (logistic models) (62J12) General nonlinear regression (62J02) Monte Carlo methods (65C05)
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Cites Work
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- On Some Ridge Regression Estimators: An Empirical Comparisons
- Ridge regression:some simulations
- A Monte Carlo Evaluation of Some Ridge-Type Estimators
- A simulation study of ridge and other regression estimators
- Performance of some new preliminary test ridge regression estimators and their properties
- Performance of the shrinkage preliminary test ridge regression estimators based on the conflicting of W, LR and LM tests
- Choosing Ridge Parameter for Regression Problems
- Performance of Some New Ridge Regression Estimators
- Ridge Regression: Biased Estimation for Nonorthogonal Problems
- Ridge Regression: Applications to Nonorthogonal Problems
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