Hawkes processes are used in statistical modeling for event clustering and causal inference,
while they also can be viewed as stochastic versions of popular compartmental models used …

This article offers a detailed examination of the content of predictive policing applications.
Crime prediction machines are used by governments to shape the moral behavior of police …

Interspecific interactions can influence species' activity and movement patterns. In particular,
species may avoid or attract each other through reactive responses in space and/or time …

The law of crime concentration at place has become a criminological axiom and the
foundation for one of the strongest evidence-based policing strategies to date. Using …

Racial bias of predictive policing algorithms has been the focus of recent research and, in
the case of Hawkes processes, feedback loops are possible where biased arrests are …

Purpose Despite increased scholarly inquiry regarding intelligence-led policing (ILP) and
popularity among law enforcement agencies around the globe, ambiguity remains regarding …

Hawkes process are very popular mathematical tools for modeling phenomena exhibiting a
self‐exciting or self‐correcting behavior. Typical examples are earthquakes occurrence, wild …

In this work we evaluate the predictive capability of identifying long term, micro place hot
spots in Dallas, Texas. We create hot spots using a clustering algorithm, using law …

Dans cet article, nous rentrons dans les détails du contenu des applications numériques de
la police prédictive. Les machines prédictives sont des technologies morales de …

The assessment of the health impacts of the COVID-19 pandemic requires the consideration
of mobility networks. To this aim, we propose to augment spatio-temporal point process …