Prof. Ana M. Aguilera

Department of Statistics and O.R.

University of Granada, Spain

Email: [email protected]

Qualifications

1993 Ph.D., Mathematics, Faculty of Sciences, University of Granada, Spain

1990 B.S., Mathematics, Faculty of Sciences, University of Granada, Spain

Publications (Selected)

1. Vidal, M., Moura, N., Van Kerrebroeck, B., et al. (2025). Modeling Emotional Arousal With Turbulence Measured by EEG. Psychophysiology, 62(6), Article e70093.
2. Vidal, M., Leman, M., & Aguilera, AM. (2025). Functional independent component analysis by choice of norm: a framework for near-perfect classification. Advances in Data Analysis and Classification. Advance online publication.
3. Vidal, M., & Aguilera, AM. (2025). Wavelet thresholding on independent subspace factorizations of spatially indexed wide functional data for robust estimation of cortical activity. Mathematics and Computers in Simulation, 232, 346–361.
4. Ortiz, H., Acal, C., Escabias, M., et al. (2025). Characterizing the functional ANOVA model for repeated measures via PCA application to biomechanical data. AIMS Mathematics, 10(4), 846–849.
5. Acal, C., Escabias, M., Valderrama, MJ., et al. (2026). Statfda: A User-Friendly Web Application to Analyse Curves Data from a Functional Perspective. Experimental Mathematics, 35(1), 49–63.
6. Urbano-Leon, CL., Aguilera, AM., & Escabias, M. (2024). Repeated measures in functional logistic regression. Mathematics and Computers in Simulation, 225, 66–77.
7. Evangelista, A., Acal, C., Aguilera, AM., et al. (2025). High dimensional variable selection through group Lasso for multiple function-on-function linear regression: A case study in PM10 monitoring. Environmetrics, 36(1), Article e2852.
8. Acal, C., Aguilera, AM., Alonso, FJ., et al. (2024). Different PCA approaches for vector functional time series with applications to resistive switching processes. Mathematics and Computers in Simulation, 223, 288–298.
9. Vidal, M., & Aguilera, AM. (2023). Novel whitening approaches in functional settings. Stat, 12(1), Article e516.
10. Moura, N., Vidal, M., Aguilera, AM., et al. (2023). Knee flexion of saxophone players anticipates tonal context of music. NPJ Science of Learning, 8(1), Article 22.
11. Vidal, M., Onderdijk, KE., Aguilera, AM., et al. (2024). Cholinergic-related pupil activity reflects level of emotionality during motor performance. European Journal of Neuroscience, 59(9), 2193–2207.
12. Acal, C., Maldonado, D., Aguilera, AM., et al. (2023). Holistic Variability Analysis in Resistive Switching Memories Using a Two-Dimensional Variability Coefficient. ACS Applied Materials & Interfaces, 15(15), 19102–19110.
13. Escabias, M., Aguilera, AM., & Acal, C. (2022). logitFD: an R package for functional principal component logit regression. R Journal, 14(3), 231–248.
14. Acal, C., & Aguilera, AM. (2023). Basis expansion approaches for functional analysis of variance with repeated measures. Advances in Data Analysis and Classification, 17(2), 291–321.
15. Acal, C., Aguilera, AM., Sarra, A., et al. (2022). Functional ANOVA approaches for detecting changes in air pollution during the COVID-19 pandemic. Stochastic Environmental Research and Risk Assessment, 36(4), 1083–1101.
16. Acal, C., Escabias, M., Aguilera, AM., et al. (2021). COVID-19 Data Imputation by Multiple Function-on-Function Principal Component Regression. Mathematics, 9(11), Article 1237.
17. Vidal, M., Rosso, M., & Aguilera, AM. (2021). Bi-Smoothed Functional Independent Component Analysis for EEG Artifact Removal. Mathematics, 9(11), Article 1243.
18. Pérez, E., Maldonado, D., Acal, C., et al. (2021). Advanced temperature dependent statistical analysis of forming voltage distributions for three different HfO2-based RRAM technologies. Solid-State Electronics, 176, Article 107961.
19. Aguilera, AM., Acal, C., Aguilera-Morillo, MC., et al. (2021). Homogeneity problem for basis expansion of functional data with applications to resistive memories. Mathematics and Computers in Simulation, 186, 41–51.
20. Alonso, FJ., Maldonado, D., Aguilera, AM., et al. (2021). Memristor variability and stochastic physical properties modeling from a multivariate time series approach. Chaos, Solitons & Fractals, 143, Article 110461.

Profile Details
https://www.ugr.es/en/staff/ana-maria-aguilera-pino
https://scholar.google.com/citations?user=OQR5iZkAAAAJ&hl=es
https://www.researchgate.net/profile/Ana-Aguilera-5

WOS ResearcherID: H-5140-2015