Uncertainty Quantification via Spatial-Temporal Tweedie Model for Zero-inflated and Long-tail Travel Demand Prediction.

Xinke Jiang|Dingyi Zhuang|Xianghui Zhang|Hao Chen|Jiayuan Luo|Xiaowei Gao


Anthology ID:DBLP:conf/cikm/JiangZZCLG23
Volume:Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023
Year:2023
Venue:International Conference on Information and Knowledge Management (CIKM)
Publisher:ACM
Pages:3983-3987
URL:https://doi.org/10.1145/3583780.3615215
DOI:https://doi.org/10.1145/3583780.3615215
DBLP:conf/cikm/JiangZZCLG23
BibTeX:
@inproceedings{jiang-2023-uncertainty, author = {Xinke Jiang and Dingyi Zhuang and Xianghui Zhang and Hao Chen and Jiayuan Luo and Xiaowei Gao}, editor = {Ingo Frommholz and Frank Hopfgartner and Mark Lee and Michael P. Oakes and Mounia Lalmas-Roelleke and Min Zhang and Rodrygo L. T. Santos}, title = {{Uncertainty Quantification via Spatial-Temporal Tweedie Model for Zero-inflated and Long-tail Travel Demand Prediction}}, booktitle = {{Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023}}, pages = {3983--3987}, publisher = {ACM}, year = {2023}, url = {https://doi.org/10.1145/3583780.3615215}, doi = {https://doi.org/10.1145/3583780.3615215} }