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Scalable high-resolution forecasting of sparse spatiotemporal events with kernel methods: A winning solution to the NIJ "Real-Time Crime Forecasting Challenge" (2019)

First Author: Flaxman S

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