Prediction of Spatial Point Processes: Regularized Method with Out-of-Sample Guarantees

NeurIPS 2019 Muhammad OsamaDave ZachariahPeter Stoica

A spatial point process can be characterized by an intensity function which predicts the number of events that occur across space. In this paper, we develop a method to infer predictive intensity intervals by learning a spatial model using a regularized criterion... (read more)

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