SMABSS RG - Journals/Books 2023

Research Group > Publications > Journals/Books 2023

PUBLICATIONS IN 2023

Journal papers/Books/Book chapters

Alonso de la Fuente, M.; Terán, P. (2023). Convergence theorems for random elements in convex combination spaces. Fuzzy Sets and Systems, 458, 69-93. (doi:10.1016/j.fss.2022.06.019)
Alonso de la Fuente, M.; Terán, P. (2023). Convergence in distribution of fuzzy random variables in L^p-type metrics. Fuzzy Sets and Systems, 470, 108653. (doi:10.1016/j.fss.2023.108653)
Alonso de la Fuente, M.; Terán, P. (2023). On convergence in distribution of fuzzy random variables. In: García-Escudero, L.A.; Gordaliza, A.; Mayo, A.; Lubiano, M.A.; Gil, M.Á.; Grzegorzewski, P.; Hryniewicz, O. (Eds.) Building Bridges between Soft and Statistical Methodologies for Data Science. Advances in Intelligent Systems and Computing, Vol. 1433, pp. 9-15. (doi:10.1007/978-3-031-15509-3_2)
Alonso de la Fuente, M.; Terán, P. (2023). Sets of probability measures and convex combination spaces. In: Miranda, E., Montes, I., Quaeghebeur, E., Vantaggi, B. (Eds.) Proceedings of the Thirteenth International Symposium on Imprecise Probability: Theories and Applications. Proceedings of Machine Learning Research, Vol. 215, pp. 3-10.
Andrés, J.C.; Aguado, D.; García-Izquierdo, A.L. (2023). Big Four LinkedIn dimensions: signals of soft skills? Journal of Work and Organizational Psychology, 39(2), 75-88. (doi:10.5093/jwop2023a9)
Balakrishnan, N.; Gil, M.Á.; Martín, N.; Morales, D.; Pardo, M.d.C., Editors (2023). Trends in Mathematical,Information and Data Sciences. Studies in Systems, Decision and Control, Vol. 445. (doi:10.1007/978-3-031-04137-2)
Cabras, S.; Cascos, I.; D'Auria, B.; Durbán, M.; Guerrero, V.; Ochoa, M. (2023). Biological age imputation by data depth. In: García-Escudero, L.A.; Gordaliza, A.; Mayo, A.; Lubiano, M.A.; Gil, M.Á.; Grzegorzewski, P.; Hryniewicz, O. (Eds.) Building Bridges between Soft and Statistical Methodologies for Data Science. Advances in Intelligent Systems and Computing, Vol. 1433, pp. 57-64. (doi:10.1007/978-3-031-15509-3_8)
Cascos, I.; Pandolfo, G.; Sinova, B. (2023). The zonoid region parameter depth. Statistical Papers, 64, 2183-2205. (doi:10.1007/s00362-022-01380-2)
Cascos, I.; Grané, A.; Qian, J. (2023). Data depth for mixed-type data through multidimensional scaling. An application to biological age imputation. In: Bucci, B.; Cartone, A.; Evangelista, A.; Marletta, A. (Eds.) Book of Short papers of 11th International Conference IES 2023 - Statistical Methods for Evaluation and Quality: Techniques, Technologies and Trends (T3), pp. 294-297. (doi:10.60984/978-88-94593-36-5-IES2023)
Castaño, A.M.; Zuazua, M.; García-Izquierdo, A.L. (2023). Development, measurement, and validation of a managerial competency model in Spain: the PUMAC questionnaire. European Journal of Psychological Assessment, (accepted, in press). (doi:10.1027/1015-5759/a000769). Supplementary materials: http://hdl.handle.net/10651/66875.
Fontaneda, I.; Prádanos, Y.; González Alcántara, O.J.; Camino López, M.Á.;García-Izquierdo, A.L. ; Osca Segovia, A. (2023). Teleworking in Manufacturing: Dealing with the Post-Pandemic COVID-19 Challenge. Administrative Sciences, 13(10), Article number 222. (doi:10.3390/admsci13100222).
García-Atance, M.A.; Carleos, C.; Andrino, S.; Justo, J.R.; Rivero, C.J.; Fernández, M.; Cañón, J.; Cortes, Ó. (2023). Genetic diversity of five Galician (Northwestern Spain) local primitive bovine breeds using pedigree records. Diversity, 15, 252. (doi:10.3390/d15020252)
García-Escudero, L.A.; Gordaliza, A.; Mayo, A.; Lubiano, M.A.; Gil, M.Á.; Grzegorzewski, P.; Hryniewicz, O., Editors (2023). Building Bridges between Soft and Statistical Methodologies for Data Science. Advances in Intelligent Systems and Computing, Vol. 1433. (doi:10.1007/978-3-031-15509-3)
Gil, M.Á. (2023). Las matemáticas del análisis de datos imprecisos. Discurso leído el 25 de enero de 2023 en el acto de su recepción como académica de número en la REAL ACADEMIA DE CIENCIAS EXACTAS, FÍSICAS Y NATURALES DE ESPAÑA (Madrid, Spain).
Gil, M.Á.; Hryniewicz, O. (2023). Statistics with Imprecise Data. In: Lin, T.Y.; Liau, C.J.; Kacprzyk, J. (Eds.) Granular, Fuzzy, and Soft Computing. Part of the Encyclopedia of Complexity and Systems Science Series book series. Springer, New York, NY, pp. 895-909. (doi:10.1007/978-1-0716-2628-3_520).
González-de La Fuente, L.; Nieto-Reyes, A.; Terán, P. (2023). Simplicial depths for fuzzy random variables. Fuzzy Sets and Systems, 471, 108678. (doi:10.1016/j.fss.2023.108678)
González-de La Fuente, L.; Nieto-Reyes, A.; Terán, P. (2023). Two notions of depth in the fuzzy setting. In: García-Escudero, L.A.; Gordaliza, A.; Mayo, A.; Lubiano, M.A.; Gil, M.Á.; Grzegorzewski, P.; Hryniewicz, O. (Eds.) Building Bridges between Soft and Statistical Methodologies for Data Science. Advances in Intelligent Systems and Computing, Vol. 1433, pp. 180-185. (doi:10.1007/978-3-031-15509-3_24)
González-de La Fuente, L.; Nieto-Reyes, A.; Terán, P. (2023). Tukey depth for fuzzy sets. In: García-Escudero, L.A.; Gordaliza, A.; Mayo, A.; Lubiano, M.A.; Gil, M.Á.; Grzegorzewski, P.; Hryniewicz, O. (Eds.) Building Bridges between Soft and Statistical Methodologies for Data Science. Advances in Intelligent Systems and Computing, Vol. 1433, pp. 186-193. (doi:10.1007/978-3-031-15509-3_25)
Haro, J.M.D.; García-Izquierdo, M.; Castaño, A.M.; García-Izquierdo, A.L. (2023). Predictive Competences of High-potential Talent Employees. Journal of Work and Organizational Psychology, 39(3), 121-130. (doi:10.5093/jwop2023a16)
López-Díaz, M.C.; López-Díaz, M.; Martínez-Fernández, S. (2023). On the optimal binary classifier with an application. Computational Statistics and Data Analysis, 181, 107683. (doi:10.1016/j.csda.2022.107683)
Lubiano, M.A.; García-García, J.; García-Izquierdo, A.L.; Castaño, A.M. (2023). The extended version of Cohen's d index for interval-valued data. In: García-Escudero, L.A.; Gordaliza, A.; Mayo, A.; Lubiano, M.A.; Gil, M.Á.; Grzegorzewski, P.; Hryniewicz, O. (Eds.) Building Bridges between Soft and Statistical Methodologies for Data Science. Advances in Intelligent Systems and Computing, Vol. 1433, pp. 263-270. (doi:10.1007/978-3-031-15509-3_35)
Lubiano, M.A.; Montenegro, M.; Pérez-Fernández, S.; Gil, M.Á. (2023). Analyzing the influence of the rating scale for items in a questionnaire on Cronbach coefficient alpha. In: Balakrishnan, N.; Gil, M.Á.; Martín, N.; Morales, D.; Pardo, M.d.C. (Eds.) Trends in Mathematical,Information and Data Sciences. Studies in Systems, Decision and Control, Vol. 445, pp. 377-388. (doi:10.1007/978-3-031-04137-2_32)
Martínez-Camblor, P. (2023). About the use of the overlap coefficient in the binary classification context. Communications in Statistics - Theory and Methods, 52(19), 6767-6777. (doi:10.1080/03610926.2022.2032754)
Martínez-Camblor, P. (2023). Confidence intervals for the length of the receiver-operating characteristic curve based on a smooth estimator. Statistical Methods in Medical Research, 32(5), 978-993. (doi:10.1177/09622802231160053)
Martínez-Camblor, P.; MacKenzie, T.A.; O'Malley, A.J. (2023). Estimating population-averaged hazard ratios in the presence of unmeasured confounding. International Journal of Biostatistics, 19(1), 39-52. (doi:10.1515/ijb-2021-0096)
O'Malley, A.J.; Martínez-Camblor, P.; MacKenzie, T.A. (2023). Discussion on "Instrumental variable estimation of the causal hazard ratio" by Linbo Wang, Eric Tchetgen Tchetgen, Torben Martinussen, and Stijn Vansteelandt. Biometrics, 79(2), 559-563. (doi:10.1111/biom.13794)
Shatla, A.; Carleos, C.; Corral, N.; Salas, A.; López, M.T. (2023). Cross-sectional stochastic frontier parameter estimator using Kulback-Leibler divergence. In: Balakrishnan, N.; Gil, M.Á.; Martín, N.; Morales, D.; Pardo, M.d.C. (Eds.) Trends in Mathematical,Information and Data Sciences. Studies in Systems, Decision and Control, Vol. 445, pp. 233-242. (doi:10.1007/978-3-031-04137-2_21)
Sinova, B. (2023). Empirical analysis of the Maxbias of the fuzzy MDD-based Hampel M-estimator of location. In: Balakrishnan, N.; Gil, M.Á.; Martín, N.; Morales, D.; Pardo, M.d.C. (Eds.) Trends in Mathematical,Information and Data Sciences. Studies in Systems, Decision and Control, Vol. 445, pp. 447-456. (doi:10.1007/978-3-031-04137-2_38)
Sinova, B. (2023). The d_θ depth-based interval trimmed mean. In: García-Escudero, L.A.; Gordaliza, A.; Mayo, A.; Lubiano, M.A.; Gil, M.Á.; Grzegorzewski, P.; Hryniewicz, O. (Eds.) Building Bridges between Soft and Statistical Methodologies for Data Science. Advances in Intelligent Systems and Computing, Vol. 1433, pp. 350-357. (doi:10.1007/978-3-031-15509-3_46)
Terán, P. (2023). Measurability and products of random sets. In: García-Escudero, L.A.; Gordaliza, A.; Mayo, A.; Lubiano, M.A.; Gil, M.Á.; Grzegorzewski, P.; Hryniewicz, O. (Eds.) Building Bridges between Soft and Statistical Methodologies for Data Science. Advances in Intelligent Systems and Computing, Vol. 1433, pp. 366-373. (doi:10.1007/978-3-031-15509-3_48)

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Last modified (January 2023)