Nonparametric estimation of the conditional bivariate distribution function of censored gap times

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dc.contributor.authorSoutinho, Gustavo
dc.contributor.authorMeira-Machado, Luís
dc.date.accessioned2025-01-16T11:23:26Z
dc.date.available2025-01-16T11:23:26Z
dc.date.issued2024-12-04
dc.description.abstractA major goal in recurrent events analysis is to estimate the bivariate distribution function. This estimation is crucial across various fields and applications, as it helps clarify the patterns of recurring events and their underlying patterns. ‘Gap time’ refers to the duration between consecutive occurrences of an event, while the bivariate distribution function represents the joint probability distribution of two such gap times. Despite significant advancements in this area, most existing methods assume independent censoring and neglect the impact of covariates. Therefore, the primary aim of this paper is to develop and introduce nonparametric estimation methods for the bivariate distribution function that incorporate covariate measures. This study seeks to provide more precise and applicable tools for analyzing recurrent event data, thereby enhancing the understanding and interpretation of such events in practical scenarios.
dc.identifier.citationSoutinho, G., & Meira-Machado, L. (2024). Nonparametric estimation of the conditional bivariate distribution function of censored gap times. In 2024 International Conference on Applied Mathematics & Computer Science (ICAMCS), Venice, Italy, 28-30 September 2024, (pp. 231-237). IEEE. https://doi.org/ 10.1109/ICAMCS62774.2024.00037. Repositório Institucional UPT. https://hdl.handle.net/11328/6055
dc.identifier.isbn979-8-3503-6380-7
dc.identifier.urihttps://hdl.handle.net/11328/6055
dc.language.isoeng
dc.publisherIEEE
dc.relation.hasversionhttps://doi.org/ 10.1109/ICAMCS62774.2024.00037
dc.rightsrestricted access
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subject.fosCiências Naturais - Ciências da Computação e da Informação
dc.titleNonparametric estimation of the conditional bivariate distribution function of censored gap times
dc.typeconference paper
dcterms.referenceshttps://ieeexplore.ieee.org/document/10771461
dspace.entity.typePublication
oaire.citation.conferenceDate2024-09-28
oaire.citation.conferencePlaceVenice, Italy
oaire.citation.endPage237
oaire.citation.startPage231
oaire.citation.title2024 International Conference on Applied Mathematics & Computer Science (ICAMCS)
person.affiliation.nameDCT - Departamento de Ciência e Tecnologia
person.familyNameSoutinho
person.givenNameGustavo
person.identifier.ciencia-id0918-604C-2C04
person.identifier.orcid0000-0002-0559-1327
person.identifier.ridGSE-1063-2022
person.identifier.scopus-author-id57195326662
relation.isAuthorOfPublication6b00013b-9493-4621-b710-79beb48b65a4
relation.isAuthorOfPublication.latestForDiscovery6b00013b-9493-4621-b710-79beb48b65a4

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