Large-scale modelling and forecasting of ambulance calls in northern Sweden using spatio-temporal log-Gaussian Cox processes

Title
Large-scale modelling and forecasting of ambulance calls in northern Sweden using spatio-temporal log-Gaussian Cox processes
Authors
Keywords
K-means clustering based bandwidth selection, Metropolis-adjusted Langevin algorithm, Minimum contrast estimation, Poisson regression, Spatio-temporal point process statistics
Journal
Spatial Statistics
Volume 39, Issue -, Pages 100471
Publisher
Elsevier BV
Online
2020-09-29
DOI
10.1016/j.spasta.2020.100471

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