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Eco-RETINA: a green flexible algorithm for model building

Author

Listed:
  • Capilla, Javier
  • Alcaráz, Alba
  • Valarezo, Angel
  • Garcia-Hiernaux, Alfredo
  • Pérez-Amaral, Teodosio

Abstract

Eco-RETINA is an innovative and eco-friendly algorithm explicitly designed for out-of-sample prediction. Functioning as a regression-based flexible approximator, it is linear in parameters but nonlinear in inputs, employing a selective model search to optimize performance. The algorithm adeptly manages multicollinearity, emphasizing speed, accuracy, and environmental sustainability. Its modular and transparent structure facilitates easy interpretation and modification, making it an invaluable tool for researchers in developing explicit models for out-of-sample forecasting. The algorithm generates outputs such as a list of relevant transformed inputs, coefficients, standard deviations, and confidence intervals, enhancing its interpretability.

Suggested Citation

  • Capilla, Javier & Alcaráz, Alba & Valarezo, Angel & Garcia-Hiernaux, Alfredo & Pérez-Amaral, Teodosio, 2025. "Eco-RETINA: a green flexible algorithm for model building," 33rd European Regional ITS Conference, Edinburgh, 2025: Digital innovation and transformation in uncertain times 331255, International Telecommunications Society (ITS).
    • Handle: RePEc:zbw:itse25:331255
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    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • C45 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Neural Networks and Related Topics
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques

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