Roberto Morales Arsenal

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Morales Arsenal, Roberto

Quantitative Methods

PhD: Universidad de Alcalá

Office E7.4

rmorales@cunef.edu

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BIO

Roberto Morales has been an Assistant Professor at CUNEF since 2010. At the start of his academic career, he was awarded a doctoral scholarship by the UC3M Department of Statistics and Econometrics, where he worked first as a fellow and then as an Assistant Professor. For some years, he combined working on his thesis with teaching Microeconomics at UAX. Later, he collaborated as a Lecturer of Statistics at the Universidad Pontificia de Comillas (ICAI) and in graduate courses at UCLM. Roberto received his doctorate in Econometrics with Outstanding Cum Laude from the Universidad de Alcalá under the supervision of Mercedes Gracia Díez, Professor of Econometrics at the UCM, and Professor José Javier Núñez Velázquez from the UAH. He is currently a member of the Bayesian Statistics research group directed by Miguel Ángel Gómez Villegas, Professor at the School of Mathematics at UCM.

Research IDs:

ORCID: 0000-0001-6288-791X

Education

Ph.D. in Econometrics, Universidad de Alcalá (2016)

M.S. in Computational-Statistical Information Processing, Universidad Complutense de Madrid and Universidad Politécnica de Madrid (2016); M.S. in Mathematical Engineering, Universidad Carlos III de Madrid (2007); M.S. in Applied Statistics, Spanish National Institute of Statistics (INE) and Universidad de Alcalá (2005); and M.S. in Economic Analysis and Financial Economy, Universidad Complutense de Madrid (2004)

B.S. in Applied Statistics, Universidad Complutense de Madrid (2010), and B.S. in Quantitative Economy, Universidad Complutense de Madrid (2003)

Publications in Scientific Journals

Morales-Arsenal, Roberto; Zazpe-Quintana, María Pilar; Pinar-Pérez, Jesús María,: "Optimal Forecast Combination with Univariate Models for Natural Gas Prices in Spain", in: García Márquez, F.P., Jamil, A., Ramirez, I.S., Eken, S., Hameed, A.A. (eds) "Computing, Internet of Things and Data Analytics", ICCIDA 2023, Studies in Computational Intelligence, 1145, Springer, Cham, 2024.

Pinar-Perez, Jesús María; Ruiz-Hernandez, Diego; Morales-Arsenal, Roberto; Pliego-Marugan, Alberto: “Joint Maintenance and Spare Machines Management Policies Assessment”, in García Márquez, Fausto Pedro; Segovia Ramírez, Isaac; Bernalte Sánchez, Pedro José; Muñoz del Río, Alba (eds): IoT and Data Science in Engineering Management, CIO 2022, Lecture Notes on Data Engineering and Communications Technologies, 160, Springer, Cham, 2023.

Morales-Arsenal, Roberto; Pinar-Pérez, Jesús María: “How to Design an Efficient Post-pandemic Online Exam in Management Science: A Bayesian Machine Learning Approach”, in Xu, Jiuping; Altiparmak, Fulya; Hassan, Mohamed Hag Ali; García Márquez, Fausto Pedro; Hajiyev, Asaf (eds): Proceedings of the Sixteenth International Conference on Management Science and Engineering Management, Volume 2, Springer, 2022.

Morales Arsenal, Roberto y Pinar Pérez, Jesús: “A Hybrid Model of Learning Methodology Analyzed Through the Use of Machine Learning Techniques”, Internet of Things in Management Science and Operations Research, Implemented Studies, Springer, 2021.

Vega, M.C.; González Alastrue, J.A.; Morales Arsenal, R.; Pinar Pérez, J.: “The Impact of COVID-19 on Teaching in Statistics and Operations Research in Higher Education”, Boletin de Estadística e Investigación Operativa (BEIO), 36, 2, 2020.

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