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

1 code implementation • 9 Jan 2018 • Seth Flaxman, Michael Chirico, Pau Pereira, Charles Loeffler

For inference, we discretize the spatiotemporal point pattern and learn a log-intensity function using the Poisson likelihood and highly efficient gradient-based optimization methods.

Density Estimation Gaussian Processes