Prediction of air pollutants PM10 by ARBX(1) processes

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dc.contributor.authorÁlvarez Liébana, Javier
dc.contributor.authorRuiz Medina, María Dolores
dc.contributor.editorLangousis, Andreas
dc.date.accessioned2024-01-24T10:55:22Z
dc.date.available2024-01-24T10:55:22Z
dc.date.issued2019
dc.description.abstractThis work adopts a Banach-valued time series framework for component-wise estimation and prediction, from temporal correlated functional data, in presence of exogenous variables. The strong-consistency of the proposed functional estimator and associated plug-in predictor is formulated. The simulation study undertaken illustrates their large-sample size properties. Air pollutants PM10 curve forecasting, in the Haute-Normandie region (France), is addressed by implementation of the functional time series approach presented.en
dc.description.departmentDepto. de Estadística y Ciencia de los Datos
dc.description.facultyFac. de Estudios Estadísticos
dc.description.refereedTRUE
dc.description.sponsorshipMinisterio de Economía y Competitividad (España)
dc.description.sponsorshipEuropean Commission
dc.description.statuspub
dc.identifier.citationÁlvarez-Liébana J, Ruiz-Medina MD (2019) Prediction of air pollutants PM10 by ARBX(1) processes. Stoch Environ Res Risk Assess 33:1721–1736. https://doi.org/10.1007/s00477-019-01712-z
dc.identifier.doi10.1007/s00477-019-01712-z
dc.identifier.essn1436-3259
dc.identifier.officialurlhttps://doi.org/10.1007/s00477-019-01712-z
dc.identifier.relatedurlhttps://link.springer.com/article/10.1007/s00477-019-01712-z
dc.identifier.relatedurlhttps://link.springer.com/journal/477
dc.identifier.urihttps://hdl.handle.net/20.500.14352/95035
dc.issue.number10
dc.journal.titleStochastic Environmental Research and Risk Assessment
dc.language.isoeng
dc.page.final1736
dc.page.initial1721
dc.publisherSpringer Nature
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internationalen
dc.rights.accessRightsrestricted access
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject.cdu512.642
dc.subject.cdu551.5
dc.subject.cdu519.246.8
dc.subject.keywordAir pollutants forecasting
dc.subject.keywordBanach spaces
dc.subject.keywordFunctional time series
dc.subject.keywordMeteorological variables
dc.subject.keywordStrong consistency
dc.subject.ucmAnálisis funcional y teoría de operadores
dc.subject.ucmMeteorología (Física)
dc.subject.unesco1202 Análisis y Análisis Funcional
dc.subject.unesco2509 Meteorología
dc.titlePrediction of air pollutants PM10 by ARBX(1) processesen
dc.typejournal article
dc.type.hasVersionVoR
dc.volume.number33
dspace.entity.typePublication
relation.isAuthorOfPublicationcb530a87-36bd-49bf-be31-3d219d0ba5f5
relation.isAuthorOfPublication.latestForDiscoverycb530a87-36bd-49bf-be31-3d219d0ba5f5

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