Do Simpler Statistical Methods Perform Better in Multivariate Long Sequence Time-Series Forecasting?

Hao Li|Jie Shao|Kewen Liao|Mingjian Tang


Anthology ID:DBLP:conf/cikm/LiSLT22
Volume:Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022
Year:2022
Venue:International Conference on Information and Knowledge Management (CIKM)
Publisher:ACM
Pages:4168-4172
URL:https://doi.org/10.1145/3511808.3557585
DOI:https://doi.org/10.1145/3511808.3557585
DBLP:conf/cikm/LiSLT22
BibTeX:
@inproceedings{li-2022-simpler, author = {Hao Li and Jie Shao and Kewen Liao and Mingjian Tang}, editor = {Mohammad Al Hasan and Li Xiong}, title = {{Do Simpler Statistical Methods Perform Better in Multivariate Long Sequence Time-Series Forecasting?}}, booktitle = {{Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022}}, pages = {4168--4172}, publisher = {ACM}, year = {2022}, url = {https://doi.org/10.1145/3511808.3557585}, doi = {https://doi.org/10.1145/3511808.3557585} }