arXiv Machine Learning By Jaeyeong Lee, Heeyoung Kim

Nonlocal Bayesian Modeling of Continuous Spatio-Temporal Dynamics

Read the original on arXiv Machine Learning →

arXiv:2606. 14313v1 Announce Type: cross Abstract: Real-world spatio-temporal forecasting must handle irregular time points, spatially sparse observations, and the need for uncertainty quantification.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv Machine Learning.