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Implementation of adaptive lasso regression based on multiple Theil-Sen Estimators using differential evolution algorithm with heavy tailed errors Cover

Implementation of adaptive lasso regression based on multiple Theil-Sen Estimators using differential evolution algorithm with heavy tailed errors

Journal of the National Science Foundation of Sri Lanka
Volume 50 (2022): Issue 2
By: ,  ,   and    
Open Access
|Sep 2022
Authors

Authors

E. Dünder

emre.dunder@ou.edu.tr

Ondokuz Mayıs University

T. Zaman

tolgazaman@karatekin.edu.tr

Çankırı Karatekin University

M.A. Cengiz

macengiz@omu.edu.tr

Ondokuz Mayıs University

K. Alakuş

kamilal@omu.edu.tr

Ondokuz Mayıs University
DOI: https://doi.org/10.4038/jnsfsr.v50i2.10292 | Journal eISSN: 2362-0161
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Language: English
Page range: 395 - 404
Published on: Sep 9, 2022
Published by: National Science Foundation of Sri Lanka
In partnership with: Paradigm Publishing Services
Keywords:
Adaptive lasso,
heavy-tailed errors,
Theil-Sen estimators,
weight vector selection

© 2022 E. Dünder, T. Zaman, M.A. Cengiz, K. Alakuş, published by National Science Foundation of Sri Lanka
This work is licensed under the Creative Commons License.

Volume 50 (2022): Issue 2
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