125278 20241125101150.0 doi 10.3390/math11030759 sideral 132953 ART-2023-132953 eng Castillo Mateo, Jorge Universidad de Zaragoza (orcid)0000-0003-3859-0248 Bayesian variable selection in generalized extreme value regression: modeling annual maximum temperature 2023 Access copy available to the general public Unrestricted In many applications, interest focuses on assessing relationships between covariates and the extremes of the distribution of a continuous response. For example, in climate studies, a usual approach to assess climate change has been based on the analysis of annual maximum data. Using the generalized extreme value (GEV) distribution, we can model trends in the annual maximum temperature using the high number of available atmospheric covariates. However, there is typically uncertainty in which of the many candidate covariates should be included. Bayesian methods for variable selection are very useful to identify important covariates. However, such methods are currently very limited for moderately high dimensional variable selection in GEV regression. We propose a Bayesian method for variable selection based on a stochastic search variable selection (SSVS) algorithm proposed for posterior computation. The method is applied to the selection of atmospheric covariates in annual maximum temperature series in three Spanish stations. info:eu-repo/grantAgreement/ES/DGA/E46-20R info:eu-repo/grantAgreement/ES/MICINN/PID2020-116873GB-I00 info:eu-repo/grantAgreement/EUR/MICINN/TED2021-130702B-I00 info:eu-repo/semantics/openAccess by http://creativecommons.org/licenses/by/3.0/es/ 2.3 2023 MATHEMATICS 21 / 490 = 0.043 2023 Q1 T1 0.475 2023 Engineering (miscellaneous) 2023 Q2 Mathematics (miscellaneous) 2023 Q2 Computer Science (miscellaneous) 2023 Q2 4.0 2023 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Asín, Jesús Universidad de Zaragoza (orcid)0000-0002-0174-789X Cebrián, Ana C. Universidad de Zaragoza (orcid)0000-0002-9052-9674 Mateo Lázaro, Jesús Universidad de Zaragoza (orcid)0000-0002-8235-9580 Abaurrea, Jesús Universidad de Zaragoza (orcid)0000-0002-7974-7435 2007 265 Universidad de Zaragoza Dpto. Métodos Estadísticos Área Estadís. Investig. Opera. 2000 427 Universidad de Zaragoza Dpto. Ciencias de la Tierra Área Geodinámica Externa 11, 3 (2023), 759 [19 pp] Mathematics (Basel) Mathematics 2227-7390 1401485 http://zaguan.unizar.es/record/125278/files/texto_completo.pdf Versión publicada 2635348 http://zaguan.unizar.es/record/125278/files/texto_completo.jpg?subformat=icon icon Versión publicada oai:zaguan.unizar.es:125278 articulos driver 2024-11-22-12:06:18 ARTICLE