Short-Term Regional Demographic Forecasts with Time Series Methods and Machine Learning Algorithms

Detalhes bibliográficos
Autor(a) principal: Bravo, Jorge Miguel
Data de Publicação: 2020
Outros Autores: Coelho, Edviges
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/111171
Resumo: Bravo, J. M., & Coelho, E. (2020). Short-Term Regional Demographic Forecasts with Time Series Methods and Machine Learning Algorithms. Boletim da Sociedade Portuguesa de Estatística, (Primavera 2020), 20-29.
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spelling Short-Term Regional Demographic Forecasts with Time Series Methods and Machine Learning AlgorithmsSDG 3 - Good Health and Well-beingSDG 11 - Sustainable Cities and CommunitiesBravo, J. M., & Coelho, E. (2020). Short-Term Regional Demographic Forecasts with Time Series Methods and Machine Learning Algorithms. Boletim da Sociedade Portuguesa de Estatística, (Primavera 2020), 20-29.NOVA Information Management School (NOVA IMS)Information Management Research Center (MagIC) - NOVA Information Management SchoolRUNBravo, Jorge MiguelCoelho, Edviges2021-02-02T23:37:00Z2020-062020-06-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article10application/pdfhttp://hdl.handle.net/10362/111171eng1646-5903PURE: 18768828info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-03-11T04:54:58Zoai:run.unl.pt:10362/111171Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:41:48.962724Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Short-Term Regional Demographic Forecasts with Time Series Methods and Machine Learning Algorithms
title Short-Term Regional Demographic Forecasts with Time Series Methods and Machine Learning Algorithms
spellingShingle Short-Term Regional Demographic Forecasts with Time Series Methods and Machine Learning Algorithms
Bravo, Jorge Miguel
SDG 3 - Good Health and Well-being
SDG 11 - Sustainable Cities and Communities
title_short Short-Term Regional Demographic Forecasts with Time Series Methods and Machine Learning Algorithms
title_full Short-Term Regional Demographic Forecasts with Time Series Methods and Machine Learning Algorithms
title_fullStr Short-Term Regional Demographic Forecasts with Time Series Methods and Machine Learning Algorithms
title_full_unstemmed Short-Term Regional Demographic Forecasts with Time Series Methods and Machine Learning Algorithms
title_sort Short-Term Regional Demographic Forecasts with Time Series Methods and Machine Learning Algorithms
author Bravo, Jorge Miguel
author_facet Bravo, Jorge Miguel
Coelho, Edviges
author_role author
author2 Coelho, Edviges
author2_role author
dc.contributor.none.fl_str_mv NOVA Information Management School (NOVA IMS)
Information Management Research Center (MagIC) - NOVA Information Management School
RUN
dc.contributor.author.fl_str_mv Bravo, Jorge Miguel
Coelho, Edviges
dc.subject.por.fl_str_mv SDG 3 - Good Health and Well-being
SDG 11 - Sustainable Cities and Communities
topic SDG 3 - Good Health and Well-being
SDG 11 - Sustainable Cities and Communities
description Bravo, J. M., & Coelho, E. (2020). Short-Term Regional Demographic Forecasts with Time Series Methods and Machine Learning Algorithms. Boletim da Sociedade Portuguesa de Estatística, (Primavera 2020), 20-29.
publishDate 2020
dc.date.none.fl_str_mv 2020-06
2020-06-01T00:00:00Z
2021-02-02T23:37:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10362/111171
url http://hdl.handle.net/10362/111171
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 1646-5903
PURE: 18768828
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
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application/pdf
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
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repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
repository.mail.fl_str_mv
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