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

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

doi:10.1145/3583780.3615215

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

Cited by 7 publications

References 25 publications

Generating sparse origin–destination flows on shared mobility networks using probabilistic graph neural networks

Generating sparse origin–destination flows on shared mobility networks using probabilistic graph neural networks

ST-GIN: An Uncertainty Quantification Approach in Traffic Data Imputation with Spatio-Temporal Graph Attention and Bidirectional Recurrent United Neural Networks

Incomplete Graph Learning via Attribute-Structure Decoupled Variational Auto-Encoder

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