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http://dx.doi.org/10.5351/KJAS.2015.28.6.1103

Relative Error Prediction via Penalized Regression  

Jeong, Seok-Oh (Department of Statistics, Hankuk University of Foreign Studies)
Lee, Seo-Eun (Department of Statistics, Hankuk University of Foreign Studies)
Shin, Key-Il (Department of Statistics, Hankuk University of Foreign Studies)
Publication Information
The Korean Journal of Applied Statistics / v.28, no.6, 2015 , pp. 1103-1111 More about this Journal
Abstract
This paper presents a new prediction method based on relative error incorporated with a penalized regression. The proposed method consists of fully data-driven procedures that is fast, simple, and easy to implement. An example of real data analysis and some simulation results were given to prove that the proposed approach works in practice.
Keywords
prediction; relative error; penalized regression; LASSO;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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