Modeling and estimation for self-exciting spatio-temporal models of terrorist activity

@inproceedings{Clark2018ModelingAE,
  title={Modeling and estimation for self-exciting spatio-temporal models of terrorist activity},
  author={Nicholas J. Clark and Michael J. Dixon},
  year={2018}
}
Spatio-temporal hierarchical modeling is an extremely attractive way to model the spread of crime or terrorism data over a given region, especially when the observations are counts and must be modeled discretely. The spatio-temporal diffusion is placed, as a matter of convenience, in the process model allowing for straightforward estimation of the diffusion parameters through Bayesian techniques. However, this method of modeling does not allow for the existence of self-excitation, or a temporal… CONTINUE READING
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