000107402 001__ 107402
000107402 005__ 20230519145412.0
000107402 0247_ $$2doi$$a10.32614/RJ-2021-049
000107402 0248_ $$2sideral$$a124773
000107402 037__ $$aART-2021-124773
000107402 041__ $$aeng
000107402 100__ $$0(orcid)0000-0002-9052-9674$$aCebrián, A.C.$$uUniversidad de Zaragoza
000107402 245__ $$aAnalyzing dependence between point processes in time using IndTestPP
000107402 260__ $$c2021
000107402 5060_ $$aAccess copy available to the general public$$fUnrestricted
000107402 5203_ $$aThe 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.
000107402 536__ $$9info:eu-repo/grantAgreement/ES/DGA/E46-17R$$9info:eu-repo/grantAgreement/ES/MINECO/MTM2017-83812-P
000107402 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/
000107402 590__ $$a1.673$$b2021
000107402 592__ $$a1.892$$b2021
000107402 594__ $$a5.5$$b2021
000107402 591__ $$aSTATISTICS & PROBABILITY$$b59 / 125 = 0.472$$c2021$$dQ2$$eT2
000107402 593__ $$aStatistics and Probability$$c2021$$dQ1
000107402 591__ $$aCOMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS$$b97 / 112 = 0.866$$c2021$$dQ4$$eT3
000107402 593__ $$aNumerical Analysis$$c2021$$dQ1
000107402 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000107402 700__ $$0(orcid)0000-0002-0174-789X$$aAsín, J.$$uUniversidad de Zaragoza
000107402 7102_ $$12007$$2265$$aUniversidad de Zaragoza$$bDpto. Métodos Estadísticos$$cÁrea Estadís. Investig. Opera.
000107402 773__ $$g13, 1 (2021), 499-515$$pR journal$$tR journal$$x2073-4859
000107402 8564_ $$s325251$$uhttps://zaguan.unizar.es/record/107402/files/texto_completo.pdf$$yVersión publicada
000107402 8564_ $$s2914700$$uhttps://zaguan.unizar.es/record/107402/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000107402 909CO $$ooai:zaguan.unizar.es:107402$$particulos$$pdriver
000107402 951__ $$a2023-05-18-13:56:02
000107402 980__ $$aARTICLE