The Poisson process, a core object in modern probability, enjoys a richer theory than is
sometimes appreciated. This volume develops the theory in the setting of a general abstract …

Determinantal point processes (DPPs) are elegant probabilistic models of repulsion that
arise in quantum physics and random matrix theory. In contrast to traditional structured …

" The book examines in some depth two important classes of point processes, determinantal
processes and" Gaussian zeros", ie, zeros of random analytic functions with Gaussian …

The Ginibre unitary ensemble (GinUE) consists of $ N\times N $ random matrices with
independent complex standard Gaussian entries. This was introduced in 1965 by Ginbre …

We give a probabilistic introduction to determinantal and permanental point processes.
Determinantal processes arise in physics (fermions, eigenvalues of random matrices) and in …

Statistical models and methods for determinantal point processes (DPPs) seem largely
unexplored. We demonstrate that DPPs provide useful models for the description of spatial …

This tutorial provides an introduction to Palm distributions for spatial point processes.
Initially, in the context of finite point processes, we give an explicit definition of Palm …

We summarize and discuss the current state of spatial point process theory and directions
for future research, making an analogy with generalized linear models and random effect …

Determinantal point processes have arisen in diverse settings in recent years and have
been investigated intensively. We study basic combinatorial and probabilistic aspects in the …

The recent advanced wireless energy harvesting technology has enabled wireless-powered
communications to accommodate wireless data services in a self-sustainable manner …