SCALABLE HIGH-RESOLUTION FORECASTING OF SPARSE SPATIOTEMPORAL EVENTS WITH KERNEL METHODS : A WINNING SOLUTION TO THE NIJ “REAL-TIME CRIME FORECASTING CHALLENGE”

Autor: Flaxman, Seth, Chirico, Michael, Pereira, Pau, Loeffler, Charles
Zdroj: The Annals of Applied Statistics, 2019 Dec 01. 13(4), 2564-2585.
Databáze: JSTOR Journals