Determinantal point processes offer a robust probabilistic framework for generating and analysing well‐distributed point configurations. Their intrinsic repulsive behaviour, governed by kernel ...

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 ...

Artificial intelligence dominates today’s business agenda. From generative co-pilots to autonomous agents, organizations feel pressure to deliver visible results with AI. Yet despite billions in ...

We establish a central limit theorem and a large deviations principle for affine point processes, which are stochastic models of correlated event timing widely used in finance and economics. These ...