Improving accuracy models using elastic net regression approach based on empirical mode decomposition-Reference-Cited by-同舟云学术

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Improving accuracy models using elastic net regression approach based on empirical mode decomposition

Published:2020-02-18 Issue: Volume: Page:1-20
ISSN:0361-0918
Container-title:Communications in Statistics - Simulation and Computation
language:en
Short-container-title:Communications in Statistics - Simulation and Computation

Author:

Al-Jawarneh Abdullah S.¹,Ismail Mohd Tahir¹,Awajan Ahmad M.²,Alsayed Ahmed R. M.³^ORCID

Affiliation:

1. School of Mathematical Sciences, University Science Malaysia, Pulau Pinang, Malaysia;

2. Department of Mathematics, Al-Hussein Bin Talal University, Ma’an, Jordan;

3. Department of Economics, Management and Quantitative Methods, University of Milan, Milan, Italy

Publisher

Informa UK Limited

Subject

Modeling and Simulation,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/03610918.2020.1728319

Reference35 articles.

1. Multicollinearity

2. Joint Identification of Multiple Genetic Variants via Elastic-Net Variable Selection in a Genome-Wide Association Analysis

3. Monthly Streamflow Forecasting Using EEMD-Lasso-DBN Method Based on Multi-Scale Predictors Selection

4. Chui, C. K. 1995. Wavelet basics. Boston, MA: Kulwer Academic Publishers.

5. How Do You Make A Time Series Sing Like a Choir? Extracting Embedded Frequencies from Economic and Financial Time Series using Empirical Mode Decomposition

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