Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/99012
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dc.contributorDepartment of Logistics and Maritime Studiesen_US
dc.creatorWang, Sen_US
dc.creatorYan, Ren_US
dc.date.accessioned2023-06-08T01:09:11Z-
dc.date.available2023-06-08T01:09:11Z-
dc.identifier.issn2772-5871en_US
dc.identifier.urihttp://hdl.handle.net/10397/99012-
dc.language.isoenen_US
dc.publisherElsevier BVen_US
dc.rights© 2022 The Author(s). Published by Elsevier Ltd on behalf of Southeast University. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).en_US
dc.rightsThe following publication Wang, S., & Yan, R. (2022). “Predict, then optimize” with quantile regression: A global method from predictive to prescriptive analytics and applications to multimodal transportation. Multimodal Transportation, 1(4), 100035 is available at https://doi.org/10.1016/j.multra.2022.100035.en_US
dc.title“Predict, then optimize” with quantile regression : a global method from predictive to prescriptive analytics and applications to multimodal transportation [Editorial]en_US
dc.typeEditorial/Preface (Journal)en_US
dc.identifier.volume1en_US
dc.identifier.issue4en_US
dc.identifier.doi10.1016/j.multra.2022.100035en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationMultimodal transportation, Dec. 2022, v. 1, no. 4, 100035en_US
dcterms.isPartOfMultimodal transportationen_US
dcterms.issued2022-12-
dc.identifier.eissn2772-5863en_US
dc.identifier.artn100035en_US
dc.description.validate202306 bcwwen_US
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumbera2087-
dc.identifier.SubFormID46516-
dc.description.fundingSourceSelf-fundeden_US
dc.description.pubStatusPublisheden_US
dc.description.oaCategoryCCen_US
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