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Artículos y Trabajos de Investigación Publicados
Galves, A.; Najman, F. A.; Svarc, M.; Vargas, C. D. (2025) Clustering functional data sets by law. Stochastic Processes and their Applications, Volume 192, 2026, 104796, ISSN 0304-4149,
DOI https://doi.org/10.1016/j.spa.2025.104796
Chávez-Domínguez, J. A.; Dimant, V.; Galicer, D. (2026) Revisiting operator p-compact mappings. Revista Matemática Complutense 39 , 75-116.
DOI https://doi.org/10.1007/s13163-025-00527-7
Boente, G., Leonardi, F., Rodriguez, D., Sued, M. (2025) Threshold detection under a semiparametric regression model, Ann Inst Stat Math.
DOI https://doi.org/10.1007/s10463-025-00958-5
Solovey, G.; Usaj, A., Picco, S.; Beron, J.C.; Sued, M.; Szretter Noste, M.E.; Bavassi, L.; Pedreira, M.E.; Fernández, R.S.(2025) Trait-anxiety and belief updating: Exploring the role of negativity bias and contrast avoidance. Cognitive, Affective, & Behavioral Neuroscience, volume 25, pages 1114 –1125.
DOI https://doi.org/10.3758/s13415-025-01282-4
Forzani, L., Rodriguez, D., & Sued, M (2025)
A penalization method to estimate the intrinsic dimensionality of data. Statistical Papers, volume 66, article number 46
DOI https://doi.org/10.1007/s00362-025-01667-0
Rodriguez, D., Sued, M., & Valdora, M. (2025). A Kruskal-Wallis type test for functional data. Communications in Statistics - Simulation and Computation, 1–15.
DOI https://doi.org/10.1080/03610918.2025.2455418
Fernandez-Piana, L.; Justel, A.; Svarc, M. (2025) Integrated depth for trajectories of airborne microorganisms to Antarctica. Ann. Appl. Stat, 19 (3) 1988 - 2004
DOI https://doi.org/10.1214/25-AOAS2041
García Galofre, J.; Pérez Millán, M.; Galarza Rial, A.; Laubenbacher, R.; Dickenstein, A. (2025) Beyond Boolean networks: new tools for the steady state analysis of multivalued networks. SIAM Journal on Applied Dynamical Systems.
DOI https://doi.org/10.48550/arXiv.2404.16760
Carando, D., Lassalle, S. & Milne, L (2025). The Fundamental Functions of the Canonical Basis of Hardy Spaces of Dirichlet Series. J Fourier Anal Appl 31, 59.
DOI https://doi.org/10.1007/s00041-025-10191-6
Fló, E., Fraiman, D., Sitt, J. D. (2025). Assessing brain-muscle networks during motor imagery to detect covert command-following. BMC Medicine, 23:68.
DOI https://doi.org/10.1186/s12916-025-03846-0
Najman, F. A., Galves, A., Svarc, M., Vargas, C. D. (2025), Extracting the fingerprints of sequences of random rhythmic auditory stimuli from electrophysiological data. PLoS Comput Biol, 21(1): e1012765.
DOI https://doi.org/10.1371/journal.pcbi.1012765
Dimant, V.; Lassalle, S.; Maestre, M. (2025) Fibers and Gleason parts for the maximal ideal space of Au(Blp). Banach Journal of Mathematical Analysis 19, 4.
DOI https://doi.org/10.1007/s43037-024-00388-0
Chávez-Domínguez, J. A.; Dimant, V.; Galicer, D. (2025) Operator space tensor norms. Lecture Notes in Mathematics, Springer Nature.
DOI https://doi.org/10.1007/978-3-031-96209-7
Jonckheere, M., & Sáenz, M. (2025). Exact characterisation of asymptotic running time for approximate gradient descent on random graphs. Stochastic Analysis and Applications, 43(1), 94–111.
DOI https://doi.org/10.1080/07362994.2024.2434234
Barbier, J.; Chen, W.K.; Panchenko, D.; Sáenz, M. (2025) Performance of Bayesian linear regression in a model with mismatch, Information and Inference: A Journal of the IMA, Volume 14, Issue 3, iaaf019.
DOI https://doi.org/10.1093/imaiai/iaaf019
Meis, M., Sued, M., Saurral, R.I. (2024) A novel statistically-based approach to regionalize extreme precipitation events using temperature data. Nat Hazards, Volume 120, pages 14785–14807
DOI https://doi.org/10.1007/s11069-024-06805-9
Forzani, L., Rodriguez, D., & Sued, M.(2024) Asymptotic results for nonparametric regression estimators after sufficient dimension reduction estimation. TEST, Volume 33, pages 987–1013
DOI https://doi.org/10.1007/s11749-024-00932-y
Aron, R., Dimant, V., García-Lirola, L. C., Maestre, M. (2024). "Linearization of holomorphic Lipschitz functions”. Mathematische Nachrichten, 297 no. 8, 3024-3051
DOI 10.1002/mana.202300527
Fraiman, D. (2024). Universality classes in out-of-equilibrium systems: An encompassing theorem for a one-dimensional fusing particles model. Physical Review Research, 6, 033288.
DOI: 10.1103/PhysRevResearch.6.033288
Edo, M., Oubiña, V., Svarc, M. (2024). Machine learning and public policy: Early detection of physical violence against children. Children and Youth Service Review, 166, 107932.
DOI https://doi.org/10.1016/j.childyouth.2024.107932