GABRIEL CALVO BAYARRI
PDI-Ajudant Doctor/A
PDI-Ajudant Doctor/A
Knowledge area: STATISTICS AND OPERATIONAL RESEARCH
Department: Statistics and Operational Research
Department: Statistics and Operational Research
Biography
Mathematician, statistician. Specialised in the analysis of longitudinal data or repeated measures through Bayesian inference. Strong interest in sport in general and sports analysis in particular.
Journal Publications
- Gabriel Calvo; Carmen Armero; Luigi Spezia; Maria Grazia Pennino (2024) Bayesian joint longitudinal models for assessing the exploitation rates of sardine stock in the Mediterranean Sea. Stochastic Environmental Research and Risk Assessment. ISSN: 1436-3240
- Gabriel Calvo; Carmen Armero; Luigi Spezia; Maria Grazia Pennino (2024) Bayes factors for longitudinal model assessment via power posteriors. Communications in Statistics-Simulation and Computation. ISSN: 0361-0918
- Gabriel Calvo; Carmen Armero; Luigi Spezia (2024) Can the hot hand phenomenon be modelled? A Bayesian hidden Markov approach. Computational Statistics. ISSN: 0943-4062
- Gabriel Calvo; Carmen Armero; Bernd Grimm; Christophe Ley (2024) Selecting the best compositions of a wheelchair basketball team: a data-driven approach. American Statistician. ISSN: 0003-1305
- Gabriel Calvo; Carmen Armero; Virgilio Gómez-Rubio; Guido Mazzinari (2021) Bayesian hierarchical nonlinear modelling of intra-abdominal volume during pneumoperitoneum for laparoscopic surgery. Sort-Statistics And Operations Research Transactions, 45(2), pp. 143 - 162 . ISSN: 1696-2281
Other Tasks
- Miembro. (Sociedad Española de Estadística e Investigación Operativa).
- Miembro. (Red Nacional de Bioestadística, Biostatnet).
- Miembro. (Sociedad Española de Biometría).
- Miembro. (Valencia Bayesian Research group (VABAR)).
- Miembro. (S-TRAINING (Sports -Training and Research in Data Science Methods for Analytics and Injury Prevention Group)).
- Miembro. (Team MIDAS, University of Luxembourg).
- Associate Editor for the Journal of Sports Analytics. (Journal of Sport Analytics).
- Young Statistician's Showcase award at the 31st International Biometric Conference in Riga, 2022. (International Biometric Society).
- Miembro. ( Consejo del Departamento de Estadística e Investigación Operativa).
- Miembro. (Sociedad Española de Estadística e Investigación Operativa).
- Miembro. (Red Nacional de Bioestadística, Biostatnet).
- Miembro. (Sociedad Española de Biometría).
- Mi investigación no es reproducible/replicable ¿debería estar preocupado?. (Sociedad Española de Bioestadística).
- Multi-state models with R. (Red Nacional de Bioestadística, Biostatnet).
- Scientific and Reproducible Programming in R. (XVII Spanish Biometric Conference and the VII Ibero-American Biometric Meeting - CEB-EIB 2019).
- Applied Bayesian computation: the Nimble platform for hierarchical modeling and MCMC. (VAlencia BAyesian Research group).
- Bayesian modeling with BayesX. (VAlencia BAyesian Research group).
Other publications
- G. Calvo; C. Armero; V. Gómez-Rubio; G. Mazzinari (2022). Bayesian Growth Curve Model for Studying the Intra-abdominal Volume During Pneumoperitoneum for Laparoscopic Surgery New Frontiers in Bayesian Statistics: BAYSM 2021. Springer Proceedings in Mathematics & Statistics. Editores Raffaele Argiento, Federico Camerlenghi, Sally Paganin. . Volume. 405 . (pp. 111 - 116) .
- Gabriel Calvo; Carmen Armero; Bernd Grimm; Christophe Ley (2023). Selecting the best compositions of a Wheelchair basketball team: a data-driven approach . (pp. 1 - 24) .
- Gabriel Calvo; Carmen Armero; Luigi Spezia (2023). A Bayesian hidden Markov model for assessing the hot hand phenomenon in basketball shooting performance . (pp. 1 - 18) .
- Gabriel Calvo; Carmen Armero; Luigi Spezia; Maria Grazia Pennino (2022). Bayes factors for longitudinal model assessment via power posteriors . (pp. 1 - 19) .
- Gabriel Calvo Bayarri; Jaime Castillo Medina; Enric Cosme Llópez; Sheldon Dantas; Roberto Giménez Conejero; Joaquín Martínez-Minaya; Miguel Reula Martín (2022). Comunidades de práctica predoctorales: Diez años del Seminari Predoc en la Facultat de Ciències Matemàtiques IN-RED 2022: VIII Congreso de Innovación Educativa y Docencia en Red . (pp. 1 - 14) .
- G. Calvo; C. Armero; M. G. Pennino; L. Spezia (2020). Bayesian shared-parameter models for analysing sardine fishing in the Mediterranean Sea Proceedings of the 35th International Workshop on Statistical Modelling. Proceedings of the 35th International Workshop on Statistical Modelling. I. Irigoien, D.-J. Lee, J. Martínez-Minaya, and M. X. Rodríguez-Álvarez. . (pp. 302 - 305) .
- Miguel Ángel Beltrán-Sánchez; Adina Alexandra Iftimi; Gabriel Calvo-Bayarri (2025). Experiencia con el uso de r markdown a través de rcommander en el grado en biología ACTAS DE LAS V JID+ Jornades d'Innovació Docent en Matemàtiques en Educació Superior . (pp. 21 - 28) .
Stays abroad in Research Centers
- Esch-sur-Alzette. LUXEMBOURG, 2022. Bayesian longitudinal models in sports. **Doctorand - Estancia predoctoral.
- Albacete. SPAIN, 2021. Modelos longitudinales bayesianos con INLA. **Doctorand.
- Aberdeen. UNITED KINGDOM, 2018. Bayesian longitudinal hidden Markov models. **Altres (especificar) - Estancia predoctoral financiada por fundación Universia, programa Erasmus +.
Participations in Conferences
- Carmen Armero; Rubén Amorós Salvador; Mark Brewer; Gabriel Calvo; Virgilio Gómez-Rubio; Miguel Angel Martínez-Beneito; Facundo Muñoz; Francisco Palmí Perales (2024). . (Participation in organiser committee). València International Bayesian Analysis Summer School, 7th edition, VIBASS 7 . SPAIN
- Gabriel Calvo; Carmen Armero; Bernd Grimm; Christophe Ley (2024). A data-driven approach to select the best compositions of a wheelchair basketball team. (Invited paper). 55èmes journées de Statistique . FRANCE
- Gabriel Calvo; Carmen Armero; Luigi Spezia; Maria Grazia Pennino (2024). Is European sardine fishing in the Mediterranean Sea at risk? A Bayesian joint longitudinal approach. (Communication). First International Workshop on Bayesian Statistics . SPAIN
- Gabriel Calvo; Carmen Armero; Luigi Spezia (2023). Can we model the hot hand phenomenon? A Bayesian hidden Markov approach for assessing basketball team performance. (Invited paper). 16th International Conference of the ERCIM WG on Computational and Methodological Statistics, CMStatistics 2023 . Berlin . GERMANY
- Gabriel Calvo; Christophe Ley; Carmen Armero; Bernd Grimm (2023). Finding the best line-up of a wheelchair basketball team using a longitudinal Bayesian model and an optimization problem. (Poster). 5ª Reunión científica de la red nacional Bioestadística, BIOSTATNET . Santiago de Compostela . SPAIN
- Gabriel Calvo; Carmen Armero (2023). Maximizing wheelchair basketball team success through longitudinal Bayesian modeling and optimization. (Paper). Sport Economics & Sport Management . Budapest . HUNGARY
- Gabriel Calvo (2023). Applying Bayesian longitudinal models in basketball. (Communication). Workshop on Bayesian Modeling for Complex Correlated Data . Valencia . SPAIN
- Gabriel Calvo; Carmen Armero; Luigi Spezia (2022). A hidden Markov model for assessing the hot hand phenomenon in basketball shooting performance. (Communication). XVIII Conferencia Española de Biometría . SPAIN
- Gabriel Calvo; Carmen Armero; Luigi Spezia (2022). Bayes factors from posterior outputs for model comparison in Bayesian longitudinal models. (Invited paper). XXXI International Biometric Conference . Riga . LATVIA
- Gabriel Calvo; Carmen Armero (2022). Analysis of basketball team performance using Bayesian longitudinal hidden Markov models. (Invited paper). International S-TRAINING webinar series . LUXEMBOURG
- Amaia Iparragirre Letamendia; Blanca Rodríguez Fernández; Dorota Mlynarczyk; Gabriel Calvo Bayarri; Garazi Retegui Goñi; Harold A. Hernández Roig; Juan A. Carbonell-Asíns; Martina Cendoya Martínez; Patricia Genius Serra; Pavel Hernández Amaro; Sofía Aguilar Lacasaña (2022). . (Participation in organiser committee). VI Jornadas Científicas de Estudiantes de la SEB . Valencia . SPAIN
- G. Calvo; C. Armero (2021). Bayesian longitudinal hidden Markov models for exploring the hot hand phenomenon in sports. (Communication). V Jornadas Científicas de Estudiantes de la SEB . SPAIN
- Amaia Iparragirre Letamendia; Dorota Mlynarczyk; Gabriel Calvo Bayarri; Guillermo Villacampa Javierre; Harold Antonio Hernandez Roig; Iker Oyanguren Monferrer; Irene García-Camacha Gutiérrez; Juan Carbonell; Lore Zumeta Olaskoaga; Martina Cendoya; Sergio Pozuelo Campos (2021). . (Participation in organiser committee). V Jornadas Científicas de Estudiantes de la SEB . Valencia . SPAIN
- G. Calvo (2020). Bayesian longitudinal models for assesing the artisanal and industrial sardine fishing in the Mediterranean Sea. (Communication). Seminari Predoc . València . SPAIN
- G. Calvo; C. Armero; M. G. Pennino; L. Spezia (2020). Temporal patterns for pilchard captures in the Mediterranean Sea. (Poster). 3rd BYMAT Conference . València . SPAIN
- G. Calvo; C. Armero; M. G. Pennino; L. Spezia (2020). Bayesian longitudinal models for assessing the artisanal and industrial sardine fishing in the Mediterranean Sea. (Poster). The 30th International Biometric Conference . Seoul . REPUBLIC OF KOREA
- G. Calvo; R. Amorós; C. Armero; M. G. Pennino; L. Spezia (2019). Mixed models for exploring sardine fishing in the Mediterranean Sea. (Communication). IV Jornadas Científicas de Estudiantes de la Sociedad Española de Biometría . Albacete . SPAIN
- G. Calvo; R. Amorós; C. Armero; M. G. Pennino; L. Spezia (2019). A Bayesian longitudinal study of European sardine fishing. (Communication). XVII Conferencia Española y VII Encuentro Iberoamericano de Biometría . València . SPAIN
- G. Calvo; R. Amorós; C. Armero; M. G. Pennino; L. Spezia (2019). What is going on with the sardines? A Bayesian longitudinal study. (Poster). Cuarta reunión general de la Red Nacional de Bioestadística . Santiago de Compostela . SPAIN
- G. Calvo; R. Amorós; C. Armero; M. G. Pennino; L. Spezia (2019). Sardine fishing in the Mediterranean Sea: a Bayesian longitudinal approach. (Poster). Third València International Bayesian Summer School, VIBASS3 . València . SPAIN
Projects
- BEhavioural ReplicaTion of Human drivers for CCAM (BERTHA) (). 2023 - 2026. Unión Europea. . PI: Carmen Armero; Virgilio Gómez Rubio.
- Más allá de la modelización habitual de datos espaciales y temporales: Una aproximación jerárquica bayesiana (BeST_Bayes) (Programa estatal de fomento de la investigación científica y técnica de excelencia. Subprograma Estatal de generación de conocimiento.). 2023 - 2026. Ministerio de Ciencia e Innovación. . PI: David Conesa Guillén y Miguel Ángel Martínez Beneito.
- Modelización Bayesiana de datos complejos correlados, Bayes_COCO. Programa Estatal de Generación de conocimiento y fortalecimiento científico y tecnológico del sistema de I+D+i (). 2020 - 2023. Ministerio de Ciencia e Innovación. . PI: Carmen Armero; David V. Conesa.
- STAT WARS EPISODIO II: EL IMPERIO DE LOS DATOS (). 2020 - 2021. Ministerio de Ciencia e Innovación. . PI: Carmen María Cadarso Suárez.
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