Scalable high-resolution forecasting of sparse spatiotemporal events with kernel methods: a winning solution to the NIJ "Real-Time Crime Forecasting Challenge" (2018)
Attributed to:
Bayesian Inference for Big Data with Stochastic Gradient Markov Chain Monte Carlo
funded by
EPSRC
Abstract
No abstract provided
Bibliographic Information
Digital Object Identifier: http://dx.doi.org/10.48550/arxiv.1801.02858
Publication URI: https://arxiv.org/abs/1801.02858
Type: Preprint