Particle swarm optimization based ridge logistic estimator

DOI10.1080/03610918.2020.1713361OpenAlexW3001036980WikidataQ126330086 ScholiaQ126330086MaRDI QIDQ5087991

Nuriye Sancar, Deniz Inan

Publication date: 4 July 2022

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610918.2020.1713361

zbMATH Keywords

multicollinearityparticle swarm optimizationshrinkage parameterridge logistic regression

Mathematics Subject Classification ID

Statistics (62-XX)

Uses Software

• aplore3
• VCD

Cites Work

• Using principal components for estimating logistic regression with high-dimensional multicollinear data
• To explain or to predict?
• Ridge estimation in logistic regression
• On the small sample properties of norm-restricted maximum likelihood estimators for logistic regression models
• A Simulation Study of Some Ridge Estimators
• Ridge regression:some simulations
• A Monte Carlo Evaluation of Some Ridge-Type Estimators
• Particle swarm optimization based Liu-type estimator
• Ridge Estimators in Logistic Regression
• Applied Logistic Regression
• Collinearity diagnostics of binary logistic regression model
• A New Robust Regression Method Based on Particle Swarm Optimization
• Ridge Regression: Biased Estimation for Nonorthogonal Problems

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