Scalable Dynamic Mixture Model with Full Covariance for Probabilistic Traffic Forecasting

Seongjin Choi, Nicolas Saunier, Zhihao Zheng, Martin Trépanier and Lijun Sun

Article (2025)

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Additional Information:	https://github.com/UMN-Choi-Lab/PeMS-BAY-2022-.git
Department:	Department of Mathematics and Industrial Engineering Department of Civil, Geological and Mining Engineering
Funders:	IVADO
PolyPublie URL:	https://publications.polymtl.ca/63364/
Journal Title:	Transportation Science
Publisher:	Institute for Operations Research and the Management Sciences
DOI:	10.1287/trsc.2024.0547
Official URL:	https://doi.org/10.1287/trsc.2024.0547
Date Deposited:	17 Mar 2025 10:46
Last Modified:	17 Mar 2025 10:46

Cite in APA 7:	Choi, S., Saunier, N., Zheng, Z., Trépanier, M., & Sun, L. (2025). Scalable Dynamic Mixture Model with Full Covariance for Probabilistic Traffic Forecasting. Transportation Science, 13 pages. https://doi.org/10.1287/trsc.2024.0547
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