Extreme events gain the attention of researchers due to their utmost importance in various
contexts ranging from climate to brain. An observable that deviates significantly from its long …

An extensive update to a classic text Stochastic geometry and spatial statistics play a
fundamental role in many modern branches of physics, materials sciences, engineering …

Statistical network modelling has focused on representing the graph as a discrete structure,
namely the adjacency matrix. When assuming exchangeability of this array—which can aid …

The use of extreme events theory for the analysis of spontaneous epileptic brain activity is a
relevant multidisciplinary problem. It allows deeper understanding of pathological brain …

The climate crisis demands a strong response from policy-makers worldwide. The current
global climate policy agenda requires technological change, innovation, labour markets and …

We propose a universal framework to compute record age statistics of a stochastic time
series that undergoes random restarts. The proposed framework makes minimal …

Many approaches to automated epileptic seizure detection share a common challenge—the
trade-off between recall and precision. This study aims to develop a novel approach for …

In this article, we present a survey of different types of random walk models with local and
non-local transitions on undirected weighted networks. We present a general approach by …

Although higher-order interactions are known to affect the typical state of dynamical
processes giving rise to new collective behavior, how they drive the emergence of rare …

We study two identical FitzHugh-Nagumo oscillators which are coupled with one or two
different time delays. If only a single-delay coupling is used, the length of the delay …