New paper accepted at JCGS

Our paper, “Spatio-Temporal Prediction of Fine-Grained Origin-Destination Matrices with Applications to Ridesharing” (Authors: Run Yang, Runpeng Dai, Siran Gao, Xiaocheng Tang, Fan Zhou, Hongtu Zhu), has been accepted in the Journal of Computational and Graphical Statistics (JCGS). This work develops novel spatiotemporal prediction methods for fine-grained origin-destination matrices, with applications to ridesharing platform optimization. Congratulations to all authors!