M. Revan Özkale

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 20

Top Topics

Linear Regression Models

Monte Carlo Simulation

Model Selection

Top Venues

Commun. Stat. Simul. Comput.

J. Comput. Appl. Math.

Publications

Hasan Yildirim, M. Revan Özkale
-Norm: a Sparsity Solution Alternative to Lasso and Elastic Net. Cogn. Comput. 16 (2) (2024)
Hasan Yildirim, M. Revan Özkale
A combination of ridge and Liu regressions for extreme learning machine. Soft Comput. 27 (5) (2023)
Ulduz Mammadova, M. Revan Özkale
Comparison of deviance and ridge deviance residual-based control charts for monitoring Poisson profiles. Commun. Stat. Simul. Comput. 52 (3) (2023)
M. Revan Özkale, Hüsniye Altuner
Bootstrap selection of ridge regularization parameter: a comparative study via a simulation study. Commun. Stat. Simul. Comput. 52 (8) (2023)
M. Revan Özkale, Özge Kuran
Model selection via conditional conceptual predictive statistic for mixed and stochastic restricted ridge estimators in linear mixed models. Concurr. Comput. Pract. Exp. 34 (28) (2022)
Ulduz Mammadova, M. Revan Özkale
Profile monitoring for count data using Poisson and Conway-Maxwell-Poisson regression-based control charts under multicollinearity problem. J. Comput. Appl. Math. 388 (2021)
Hasan Yildirim, M. Revan Özkale
-norm and Liu estimator. Neural Comput. Appl. 33 (16) (2021)
Özge Kuran, M. Revan Özkale
Marginal ridge conceptual predictive model selection criterion in linear mixed models. Commun. Stat. Simul. Comput. 50 (2) (2021)
Özge Kuran, M. Revan Özkale
Stochastic restricted Liu predictors in linear mixed models. Commun. Stat. Simul. Comput. 50 (9) (2021)
Murat Genç, M. Revan Özkale
Usage of the GO estimator in high dimensional linear models. Comput. Stat. 36 (1) (2021)
M. Revan Özkale
The red indicator and corrected VIFs in generalized linear models. Commun. Stat. Simul. Comput. 50 (12) (2021)
M. Revan Özkale, Özge Kuran
A further prediction method in linear mixed models: Liu prediction. Commun. Stat. Simul. Comput. 49 (12) (2020)
Tugba Söküt Açar, M. Revan Özkale
Regression diagnostics methods for Liu estimator under the general linear regression model. Commun. Stat. Simul. Comput. 49 (3) (2020)
Hasan Yildirim, M. Revan Özkale
An Enhanced Extreme Learning Machine Based on Liu Regression. Neural Process. Lett. 52 (1) (2020)
M. Revan Özkale, Engin Arican
A first-order approximated jackknifed ridge estimator in binary logistic regression. Comput. Stat. 34 (2) (2019)
Hasan Yildirim, M. Revan Özkale
The performance of ELM based ridge regression via the regularization parameters. Expert Syst. Appl. 134 (2019)
Fikriye Kurtoglu, M. Revan Özkale
Restricted ridge estimator in generalized linear models: Monte Carlo simulation studies on Poisson and binomial distributed responses. Commun. Stat. Simul. Comput. 48 (4) (2019)
M. Revan Özkale, Stanley Lemeshow, Rodney X. Sturdivant
Logistic regression diagnostics in ridge regression. Comput. Stat. 33 (2) (2018)
Gülin Tabakan, M. Revan Özkale
Liu estimator in partly linear regression models with correlated errors. Commun. Stat. Simul. Comput. 46 (3) (2017)
Tugba Söküt Açar, M. Revan Özkale
Influence measures in ridge regression when the error terms follow an Ar(1) process. Comput. Stat. 31 (3) (2016)
M. Revan Özkale
Monte Carlo Simulation Study of Biased Estimators in the Linear Regression Models with Correlated or Heteroscedastic Errors. Commun. Stat. Simul. Comput. 43 (5) (2014)
M. Revan Özkale
A stochastic restricted ridge regression estimator. J. Multivar. Anal. 100 (8) (2009)