Optimal probabilistic forecast: when do they work?
They use simulation exercises to check the predictive performance of single parametric models, and forecasts produced by linear combinations of predictive distributions to document several novel findings within this paradigm that highlight the important interplay between the true data generating pro...
- Autores:
-
Martin, Gael M.
Loaiza Maya, Rubén
Maneesoonthorn, Worapree
T.Frazier, David
Ramírez Hassan, Andrés
- Tipo de recurso:
- http://purl.org/coar/resource_type/c_1863
- Fecha de publicación:
- 2021
- Institución:
- Universidad EAFIT
- Repositorio:
- Repositorio EAFIT
- Idioma:
- eng
- OAI Identifier:
- oai:repository.eafit.edu.co:10784/31969
- Acceso en línea:
- https://hdl.handle.net/10784/31969
- Palabra clave:
- Rights
- License
- openAccess
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2022-11-29T17:00:24Z2021-08-122022-11-29T17:00:24Zhttps://hdl.handle.net/10784/31969reponame: Repositorio Institucional Universidad EAFITinstname: Universidad EAFITThey use simulation exercises to check the predictive performance of single parametric models, and forecasts produced by linear combinations of predictive distributions to document several novel findings within this paradigm that highlight the important interplay between the true data generating process, the assumed predictive model and the scoring rule''.engUniversidad EAFITNota de Política;5openAccessAcceso abiertohttp://purl.org/coar/access_right/c_abf2Optimal probabilistic forecast: when do they work?info:eu-repo/semantics/otherotherNoticiaacceptedVersionhttp://purl.org/redcol/resource_type/ARTOTRhttp://purl.org/coar/resource_type/c_1863Escuela de Finanzas, Economía y GobiernoMartin, Gael M.4de969a4-e0de-4d55-ad15-3534e1032f5d-1Loaiza Maya, Rubén5c2b053e-fcc0-4b0b-b1d9-e2c0e86383d1-1Maneesoonthorn, Worapree4755a1ec-4ab6-4f4c-91ad-7f2f1de7e90c-1T.Frazier, David10b41ec8-f2c5-49db-b870-deefd40e3ae7-1Ramírez Hassan, Andrés7bfd1382-4c1d-457e-899f-18301512e0c5-1Universidad EAFITValor Público EAFITLICENSElicense.txtlicense.txttext/plain; charset=utf-82556https://repository.eafit.edu.co/bitstreams/98863efb-68dc-4d1c-b42b-c07fdcf6b4f8/download76025f86b095439b7ac65b367055d40cMD51ORIGINALNota politica Andres Ramirez 5.pdfNota politica Andres Ramirez 5.pdfNota de política 5application/pdf344081https://repository.eafit.edu.co/bitstreams/b4f0f736-5b1a-45a3-8cfb-41b7836a2c3d/download7869f649fac12dabf5ee1249f4b4472dMD5210784/31969oai:repository.eafit.edu.co:10784/319692024-12-04 11:50:09.088open.accesshttps://repository.eafit.edu.coRepositorio Institucional Universidad EAFITrepositorio@eafit.edu.co |
dc.title.eng.fl_str_mv |
Optimal probabilistic forecast: when do they work? |
title |
Optimal probabilistic forecast: when do they work? |
spellingShingle |
Optimal probabilistic forecast: when do they work? |
title_short |
Optimal probabilistic forecast: when do they work? |
title_full |
Optimal probabilistic forecast: when do they work? |
title_fullStr |
Optimal probabilistic forecast: when do they work? |
title_full_unstemmed |
Optimal probabilistic forecast: when do they work? |
title_sort |
Optimal probabilistic forecast: when do they work? |
dc.creator.fl_str_mv |
Martin, Gael M. Loaiza Maya, Rubén Maneesoonthorn, Worapree T.Frazier, David Ramírez Hassan, Andrés |
dc.contributor.department.none.fl_str_mv |
Escuela de Finanzas, Economía y Gobierno |
dc.contributor.author.none.fl_str_mv |
Martin, Gael M. Loaiza Maya, Rubén Maneesoonthorn, Worapree T.Frazier, David Ramírez Hassan, Andrés |
dc.contributor.affiliation.spa.fl_str_mv |
Universidad EAFIT |
dc.contributor.researchgroup.none.fl_str_mv |
Valor Público EAFIT |
description |
They use simulation exercises to check the predictive performance of single parametric models, and forecasts produced by linear combinations of predictive distributions to document several novel findings within this paradigm that highlight the important interplay between the true data generating process, the assumed predictive model and the scoring rule''. |
publishDate |
2021 |
dc.date.issued.none.fl_str_mv |
2021-08-12 |
dc.date.available.none.fl_str_mv |
2022-11-29T17:00:24Z |
dc.date.accessioned.none.fl_str_mv |
2022-11-29T17:00:24Z |
dc.type.eng.fl_str_mv |
info:eu-repo/semantics/other other |
dc.type.local.spa.fl_str_mv |
Noticia |
dc.type.hasVersion.eng.fl_str_mv |
acceptedVersion |
dc.type.redcol.eng.fl_str_mv |
http://purl.org/redcol/resource_type/ARTOTR |
dc.type.coar.eng.fl_str_mv |
http://purl.org/coar/resource_type/c_1863 |
format |
http://purl.org/coar/resource_type/c_1863 |
dc.identifier.uri.none.fl_str_mv |
https://hdl.handle.net/10784/31969 |
dc.identifier.reponame.none.fl_str_mv |
reponame: Repositorio Institucional Universidad EAFIT |
dc.identifier.instname.none.fl_str_mv |
instname: Universidad EAFIT |
url |
https://hdl.handle.net/10784/31969 |
identifier_str_mv |
reponame: Repositorio Institucional Universidad EAFIT instname: Universidad EAFIT |
dc.language.iso.spa.fl_str_mv |
eng |
language |
eng |
dc.relation.ispartofseries.none.fl_str_mv |
Nota de Política;5 |
dc.rights.eng.fl_str_mv |
openAccess |
dc.rights.coar.fl_str_mv |
http://purl.org/coar/access_right/c_abf2 |
dc.rights.local.spa.fl_str_mv |
Acceso abierto |
rights_invalid_str_mv |
openAccess Acceso abierto http://purl.org/coar/access_right/c_abf2 |
dc.publisher.spa.fl_str_mv |
Universidad EAFIT |
institution |
Universidad EAFIT |
bitstream.url.fl_str_mv |
https://repository.eafit.edu.co/bitstreams/98863efb-68dc-4d1c-b42b-c07fdcf6b4f8/download https://repository.eafit.edu.co/bitstreams/b4f0f736-5b1a-45a3-8cfb-41b7836a2c3d/download |
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repository.name.fl_str_mv |
Repositorio Institucional Universidad EAFIT |
repository.mail.fl_str_mv |
repositorio@eafit.edu.co |
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1818102434738733056 |