Self-exciting spatio-temporal point process models predict the rate of events as a function of
space, time, and the previous history of events. These models naturally capture triggering …

While deterministically predicting the time and location of earthquakes remains impossible,
earthquake forecasting models can provide estimates of the probabilities of earthquakes …

We introduce an algorithm for declustering earthquake catalogs based on the nearest‐
neighbor analysis of seismicity. The algorithm discriminates between background and …

Crime has both varying patterns in space, related to features of the environment, economy
and policing, and patterns in time arising from criminal behaviour, such as retaliation …

The epidemic‐type aftershock sequence (ETAS) model has been shown to describe
successfully the statistical seismicity properties, if earthquake triggering is related to tectonic …

Abstract The Epidemic Type Aftershock Sequence (ETAS) model is widely employed to
model the spatiotemporal distribution of earthquakes, generally using spatially invariant …

Reported gang-related violent crimes in Los Angeles, California, from 1/1/14 to 12/31/17 are
modeled using spatial–temporal marked Hawkes point processes with covariates. We …

Earthquake forecasts estimate the likelihood of seismic activity within a specific region over
a given timeframe, utilizing historical data and patterns from past earthquakes. In New …

The epidemic-type aftershock sequence (ETAS) model is the most widely used statistical
model to describe earthquake catalogs. ETAS is an R package for fitting the space-time …

Probabilistic seismic hazard analysis (PSHA), as a tool to assess the probability that ground
motion of a given intensity or larger is experienced at a given site and time span, has …