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

Philosophical Transactions: Mathematical, Physical and Engineering Sciences, Vol. 378, No. 2166, Discussion meeting issue: Numerical algorithms for high-performance computational science (6 March 2020 ...

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 ...

Choosing the right software solutions for your business can be challenging and contentious, with long-term implications. For many companies, the debate may be whether to embrace one or more ...

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 ...