Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/99012
| Title: | “Predict, then optimize” with quantile regression : a global method from predictive to prescriptive analytics and applications to multimodal transportation [Editorial] | Authors: | Wang, S Yan, R |
Issue Date: | Dec-2022 | Source: | Multimodal transportation, Dec. 2022, v. 1, no. 4, 100035 | Publisher: | Elsevier BV | Journal: | Multimodal transportation | ISSN: | 2772-5871 | EISSN: | 2772-5863 | DOI: | 10.1016/j.multra.2022.100035 | 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/). The 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. |
| Appears in Collections: | Journal/Magazine Article |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 1-s2.0-S2772586322000351-main.pdf | 318.15 kB | Adobe PDF | View/Open |
Access
View full-text via PolyU eLinks 
Page views
154
Last Week
13
13
Last month
Citations as of Feb 9, 2026
Downloads
506
Citations as of Feb 9, 2026
SCOPUSTM
Citations
8
Citations as of Jun 21, 2024
Google ScholarTM
Check
Altmetric
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.