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

Li, H; Shao, J; Liao, K; Tang, M

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

conference contribution

posted on 2025-02-04, 03:07 authored by H Li, J Shao, K Liao, M Tang

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

History

Pagination

4168-4172

Location

Atlanta, GA

Open access

No

Start date

2022-10-17

End date

2022-10-21

ISBN-13

9781450392365

Language

Eng

Publication classification

E1.1 Full written paper - refereed

Title of proceedings

CIKM '22 : Proceedings of the 31st International Conference on Information and Knowledge Management 2022

Event

Information and Knowledge Management. Conference (31st : 2022 : Atlanta, GA)

Publisher

ACM

Place of publication

New York, NY

Publication URL

https://doi.org/10.1145/3511808.3557585

Usage metrics

Keywords

Bioengineering Machine Learning and Artificial Intelligence Networking and Information Technology R&D (NITRD)Generic health relevance Time-series forecasting deep learning statistical methods

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

History

Pagination

Location

Open access

Start date

End date

ISBN-13

Language

Publication classification

Title of proceedings

Event

Publisher

Place of publication

Publication URL

Usage metrics

Categories

Keywords

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Exports