Scalable high-resolution forecasting of sparse spatiotemporal events with kernel methods: A winning solution to the NIJ "Real-Time Crime Forecasting Challenge" (2019)
Abstract
No abstract provided
Bibliographic Information
Digital Object Identifier: http://dx.doi.org/10.1214/19-aoas1284
Publication URI: http://dx.doi.org/10.1214/19-aoas1284
Type: Journal Article/Review
Parent Publication: The Annals of Applied Statistics
Issue: 4