Robust and sparse estimation methods for high-dimensional linear and logistic regression FS Kurnaz, I Hoffmann, P Filzmoser Chemometrics and Intelligent Laboratory Systems 172, 211-222, 2018 | 69 | 2018 |
A new Liu-type estimator FS Kurnaz, KU Akay Statistical Papers 56, 495-517, 2015 | 28 | 2015 |
Forecasting drought using neural network approaches with transformed time series data O Ozan Evkaya, F Sevinç Kurnaz Journal of Applied Statistics 48 (13-15), 2591-2606, 2021 | 14 | 2021 |
Filzmoser P. enetLTS: robust and sparse methods for high dimensional linear and logistic regression FS Kurnaz, I Hoffmann R package version 0.1. 0 https://CRANR-projectorg/package= enetLTS, 2018 | 11 | 2018 |
A robust Liu regression estimator P Filzmoser, FS Kurnaz Communications in Statistics-Simulation and Computation 47 (2), 432-443, 2018 | 6 | 2018 |
Robust and sparse multinomial regression in high dimensions FS Kurnaz, P Filzmoser Data Mining and Knowledge Discovery 37 (4), 1609-1629, 2023 | 2 | 2023 |
Matrix mean squared error comparisons of some biased estimators with two biasing parameters FS Kurnaz, KU Akay Communications in Statistics-Theory and Methods 47 (8), 2022-2035, 2018 | 2 | 2018 |
A Comparative Assessment of Municipal Water Use in Turkey M Şamil Güneş, D Yıldız, F Sevinç Kurnaz Journal of Water Resources Planning and Management 148 (2), 05021033, 2022 | 1 | 2022 |
Performances of some high dimensional regression methods: sparse principal component regression FS Kurnaz Communications in Statistics-Simulation and Computation 50 (9), 2529-2543, 2021 | 1 | 2021 |
enetLTS: Robust and Sparse Methods for High Dimensional Linear, Binary, and Multinomial Regression FS Kurnaz, P Filzmoser Journal of Open Source Software 8 (82), 4773, 2023 | | 2023 |
Performances of some high dimensional regression methods FS Kurnaz Communications in Statistics-Simulation and Computation 50 (6), 1820-1836, 2021 | | 2021 |
Temel Bileşenlere Dayalı Bazı Regresyon Yöntemleri FS KURNAZ Gümüşhane Üniversitesi Fen Bilimleri Dergisi 10 (3), 581-591, 2020 | | 2020 |
Some Regression Methods Based on Principal Components. FS KURNAZ Gümüshane Üniversitesi Fen Bilimleri Enstitüsü Dergisi 10 (3), 2020 | | 2020 |
Robust and sparse estimation methods for high dimensional linear and logistic regression P Filzmoser, FS Kurnaz, I Hoffmann, P Filzmoser | | 2017 |
Robust and sparse methods for high-dimensional linear and logistic regression FS Kurnaz, I Hoffmann, P Filzmoser | | 2017 |
Robustified Elastic Net Estimator for Multinomial Regression FS Kurnaz, P Filzmoser Book of Abstracts, 78, 0 | | |