TEACHER: PATEIRO LÓPEZ, BEATRIZ
Personal data
Department: Statistics, Mathematical Analysis and Optimization
University: Universidade de Santiago de Compostela
Campus: Vida
E-mail: beatriz.pateiro@usc.es
Position: Professor
Dedication:
Personal Web: http://eamo.usc.es/pub/pateiro
ORCID: 0000-0002-7714-1835
Location
Faculty of: Matemáticas
Phone: (+34)981563100. Extensión: 13185
Teaching
Subjects in the course 2026/2027:
1) 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". The R journal
2) Cholaquidis, A., Cuevas, A., Pateiro-López, B. (2026). On consistent estimation of dimension values Journal of Multivariate Analysis. 214. pp. 105591. Elsevier Inc
3) González-Díaz, J., Ghaddar, B., Gómez-Casares, Ignacio, González-Rodríguez, B., Pateiro-López, B. (2025). "Learning in Reformulation-Linearization Technique-Based Spatial Branching: Limitations of Strong Branching Imitation". Informs Journal on Computing. INFORMS
4) Cholaquidis, A., Moreno, L., Pateiro-López, B. (2025). On standardness: estimation of the standardness constant and decidability aspects Journal of Nonparametric Statistics. pp. 1-25. Taylor & Francis
5) Cholaquidis, A., Fraiman, R., Moreno, L., Pateiro-López, B. (2024). Statistical analysis of measures of non-convexity TEST. 33. pp. 180-203
6) Ghaddar, B., Gómez-Casares, Ignacio, González-Díaz, J., González-Rodríguez, B., Pateiro-López, B., Rodríguez Ballesteros, S. (2023). Learning for Spatial Branching: An Algorithm Selection Approach Informs Journal on Computing. 35. pp. 1024-1043. INFORMS