Random set theory is a fascinating branch of mathematics that amalgamates techniques
from topology, convex geometry, and probability theory. Social scientists routinely conduct …

It has often been observed that homeowners fail to purchase disaster insurance.
Explanations have ranged from behavioural biases to information search costs. We show …

Quantities with right-skewed distributions are ubiquitous in complex social systems,
including political conflict, economics and social networks, and these systems sometimes …

An investigation of the limiting behavior of a risk capital allocation rule based on the
Conditional Tail Expectation (CTE) risk measure is carried out. More specifically, with the …

Different dependence scenarios can arise in multivariate extremes, entailing careful
selection of an appropriate class of models. In bivariate extremes, the variables are either …

Probabilistic Foundations of Statistical Network Analysis presents a fresh and insightful
perspective on the fundamental tenets and major challenges of modern network analysis. Its …

Cyber security and resilience are major challenges in our modern economies; this is why
they are top priorities on the agenda of governments, security and defense forces …

Given two or more Deep Neural Networks (DNNs) with the same or similar architectures,
and trained on the same dataset, but trained with different solvers, parameters, hyper …

Analyses of extreme flooding in Austria is performed using daily discharge time series from
27 stations over the period 1951-2006. The main research questions revolve around:(1) …

Reciprocity, or the tendency of individuals to mirror behavior, is a key measure that
describes information exchange in a social network. Users in social networks tend to …