| They have found 1236 records. |
1) Aneiros Pérez, German, Vilar Fernández, Juan Manuel, Cao, R., Muñoz-San-Roque, A. (To appear). "Functional prediction for the residual demand in electricity spot markets". In: IEEE Transactions on Power Systems. |
2) Boente, G., Pardo Fernández, Juan Carlos (To appear). "Testing for superiority between two variance functions". In: Statistics and Probability Letters. Vol. 156. pp. 108612. |
3) Meilán-Vila, A., Fernández-Casal, R., Crujeiras, R.M., Francisco-Fernández, M. (To appear). A computational validation for nonparametric assessment of spatial trends. In: Computational Statistics |
4) Pico-Calvo, A., Nachón, D.J., Vieira-Lanero, R., Barca, S., Cobo, M.C., Crujeiras, R.M., Cobo Gradín, F. (To appear). Application of Machine Learning Methodologies for Unravelling the Philopatry and Dispersal Range of Alosa Species in the Eastern European Atlantic. In: Biology and Life Sciences Forum |
5) Alonso-Pena, M.(To appear). Analysis of maritime conditions via nonparametric directional methods. In: Environmental Statistics |
6) Ameijeiras-Alonso, J., I. Gijbels (To appear). Semiparametric regression for circular response with application in ecology. In: Scandinavian Journal of StatisticsWiley-Blackwell Publishing, Inc. ISSN: 0303-6898 |
7) Bolon, D., Crujeiras, R.M., Rodríguez-Casal, A. (To appear). "Granulometric Smoothing on Manifolds". In: Annals of Statistics. Inst Mathematical Statistics. ISSN: 0090-5364 |
8) Meilán-Vila, A., Francisco-Fernández, M., Crujeiras, R.M. (To appear). Goodness-of-fit tests for parametric circular regression with spatial dependence: An application to wave direction modeling. In: Stochastic Environmental Research and Risk Assessment |
9) Gómez-Casares, Ignacio, Pateiro-López, B., González-Rodríguez, B., González-Díaz, J. (2026 (To appear)). "ASML: An R Package for Algorithm Selection with Machine Learning". In: The R journal. ISSN: 2073-4859 |
10) Armijos Toro, L.M., Alonso-Meijide, J. M., Mosquera, M. A., Saavedra Nieves, A. (2026). On generating functions to compute some power measures for weighted majority games. In: Annals of Operations ResearchSpringer. ISSN: 0254-5330 |