M. Revan Özkale
Orcid: 0000-0001-7085-7403
According to our database1,
M. Revan Özkale
authored at least 22 papers
between 2009 and 2024.
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Bibliography
2024
A Novel Regularized Extreme Learning Machine Based on L<sub>1</sub>-Norm and L<sub>2</sub>-Norm: a Sparsity Solution Alternative to Lasso and Elastic Net.
Cogn. Comput., March, 2024
2023
Bootstrap selection of ridge regularization parameter: a comparative study via a simulation study.
Commun. Stat. Simul. Comput., August, 2023
Soft Comput., March, 2023
Comparison of deviance and ridge deviance residual-based control charts for monitoring Poisson profiles.
Commun. Stat. Simul. Comput., March, 2023
2022
Model selection via conditional conceptual predictive statistic for mixed and stochastic restricted ridge estimators in linear mixed models.
Concurr. Comput. Pract. Exp., 2022
2021
LL-ELM: A regularized extreme learning machine based on L<sub>1</sub>-norm and Liu estimator.
Neural Comput. Appl., 2021
Profile monitoring for count data using Poisson and Conway-Maxwell-Poisson regression-based control charts under multicollinearity problem.
J. Comput. Appl. Math., 2021
Commun. Stat. Simul. Comput., 2021
Commun. Stat. Simul. Comput., 2021
Marginal ridge conceptual predictive model selection criterion in linear mixed models.
Commun. Stat. Simul. Comput., 2021
2020
Neural Process. Lett., 2020
Commun. Stat. Simul. Comput., 2020
Regression diagnostics methods for Liu estimator under the general linear regression model.
Commun. Stat. Simul. Comput., 2020
2019
Expert Syst. Appl., 2019
Comput. Stat., 2019
Restricted ridge estimator in generalized linear models: Monte Carlo simulation studies on Poisson and binomial distributed responses.
Commun. Stat. Simul. Comput., 2019
2018
2017
Commun. Stat. Simul. Comput., 2017
2016
Comput. Stat., 2016
2014
Monte Carlo Simulation Study of Biased Estimators in the Linear Regression Models with Correlated or Heteroscedastic Errors.
Commun. Stat. Simul. Comput., 2014
2009