LUIS A. GIL ALAÑA. Applied contribution

Contribution: Compendium of 4 contributions:

1. Persistence in UK Historical Data on Life Expectancy.
2. Long Memory Cointegration in the Analysis of Maximum, Minimum and Range Temperatures in Africa: Implications for Climate Change.
3. Measuring Persistence in the US Equity Gender Diversity Index.
4. Energy prices in Europe. Evidence of persistence across market.

Author(s): Guglielmo Maria Caporale, Juan Infante, Marta del Rio, Olaoluwa S. Yaya, Oluwaseun A. Adesina, Hammed A. Olayinka, Oluseyi E. Ogunsola, Miguel A. Martin-Valmayor, Luis A. Gil-Alana

Brief description of the qualities motivating the award: This is a compilation of four articles that address fractional integration and cointegration along with their empirical implementations. The first of these articles examines the historical evolution of life expectancy in the United Kingdom. The second article focuses on climate change in Africa and once again uses techniques of fractional integration and cointegration. The third article investigates gender diversity equity in the United States. Finally, the fourth article centers on the study of energy prices in Europe.

ÁNGEL RUBIO. Methodological contribution

Contribution: Precision oncology: a review to assess interpretability in several explainable methods.

Author(s): Marian Gimeno, Katyna Sada del Real, Angel Rubio.

Brief description of the qualities motivating the award: In this paper, a novel algorithm called "Optimal Decision Trees" was introduced, whose goal is precisely to solve the PM problem. It is based on trees. In each bifurcation of the tree, the algorithm identifies the best marker (discrete or continuous) and the optimal drugs for the patients in each branch of the tree. Since the algorithm is very fast, it can be transformed into a random optimizing forest or an extreme gradient boost method. Another advantage is the simplicity of the method: the trees are self-explanatory and easy to understand.