Consider a real-valued discrete-time stationary and ergodic stochastic process, called the noise process. For each dimension n, we can choose a stationary point process in Rn and a translation ...

Hawkes processes represent a class of self-exciting point processes wherein each event increases the likelihood of subsequent events occurring over a short period. Initially developed by Alan Hawkes ...

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 ...

Distance sampling is a widely used method for estimating wildlife population abundance. The fact that conventional distance sampling methods are partly design-based constrains the spatial resolution ...