Spatial point processes constitute a fundamental statistical framework for modelling the spatial distribution of events across a continuum. This field bridges theoretical developments in probability ...

The Annals of Applied Statistics, Vol. 12, No. 1 (March 2018), pp. 633-653 (21 pages) Spatio-temporal hierarchical modeling is an extremely attractive way to model the spread of crime or terrorism ...

The COVID-19 pandemic has highlighted the importance of modeling to help understand disease spread and to provide valuable insights into disease prevention and control. A new model has used COVID-19 ...