2 citations · 2 across the 3 of their papers we have counts for
Showing 2024Show all
3 papers · 1 filter
cs.LG2024
ForecastGrapher: Redefining Multivariate Time Series Forecasting with Graph Neural Networks
Wanlin Cai, Kun Wang, Hao Wu +2
The challenge of effectively learning inter-series correlations for multivariate time series forecasting remains a substantial and unresolved problem. Traditional deep learning mod…
stat.AP2024
Bayesian Inference of Time-Varying Origin-Destination Matrices from Boarding/Alighting Counts for Transit Services
Xiaoxu Chen, Zhanhong Cheng, Lijun Sun
Origin-destination (OD) demand matrices are crucial for transit agencies to design and operate transit systems. This paper presents a novel temporal Bayesian model designed to esti…
stat.AP2024
Conditional forecasting of bus travel time and passenger occupancy with Bayesian Markov regime-switching vector autoregression
Xiaoxu Chen, Zhanhong Cheng, Alexandra M. Schmidt +1
Accurately forecasting bus travel time and passenger occupancy with uncertainty is essential for both travelers and transit agencies/operators. However, existing approaches to fore…