107402 20230519145412.0 doi 10.32614/RJ-2021-049 sideral 124773 ART-2021-124773 eng Cebrián, A.C. Universidad de Zaragoza (orcid)0000-0002-9052-9674 Analyzing dependence between point processes in time using IndTestPP 2021 Access copy available to the general public Unrestricted The need to analyze the dependence between two or more point processes in time appears in many modeling problems related to the occurrence of events, such as the occurrence of climate events at different spatial locations or synchrony detection in spike train analysis. The package IndTestPP provides a general framework for all the steps in this type of analysis, and one of its main features is the implementation of three families of tests to study independence given the intensities of the processes, which are not only useful to assess independence but also to identify factors causing dependence. The package also includes functions for generating different types of dependent point processes, and implements computational statistical inference tools using them. An application to characterize the dependence between the occurrence of extreme heat events in three Spanish locations using the package is shown. info:eu-repo/grantAgreement/ES/DGA/E46-17R info:eu-repo/grantAgreement/ES/MINECO/MTM2017-83812-P info:eu-repo/semantics/openAccess by http://creativecommons.org/licenses/by/3.0/es/ 1.673 2021 STATISTICS & PROBABILITY 59 / 125 = 0.472 2021 Q2 T2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS 97 / 112 = 0.866 2021 Q4 T3 1.892 2021 Statistics and Probability 2021 Q1 Numerical Analysis 2021 Q1 5.5 2021 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Asín, J. Universidad de Zaragoza (orcid)0000-0002-0174-789X 2007 265 Universidad de Zaragoza Dpto. Métodos Estadísticos Área Estadís. Investig. Opera. 13, 1 (2021), 499-515 R journal R journal 2073-4859 325251 http://zaguan.unizar.es/record/107402/files/texto_completo.pdf Versión publicada 2914700 http://zaguan.unizar.es/record/107402/files/texto_completo.jpg?subformat=icon icon Versión publicada oai:zaguan.unizar.es:107402 articulos driver 2023-05-18-13:56:02 ARTICLE