Practical applications of nonparametric density estimators in more than three dimensions
suffer a great deal from the well-known curse of dimensionality: convergence slows down as …

A variety of statistical methods have been developed for multivariate analysis of agricultural
systems. Some statistical methods are rarely used to study these systems, although they can …

Data analysis and modeling are very important in structural health monitoring. A good model
is very conducive to better understanding, interpretation, estimation or prediction of structural …

This article considers rank-invariant clustering of continuous data via copula-based Φ-
dependence measures. The general theoretical framework establishes dependence …

The joint probability modelling of storm surges and rainfall events is the main task in
assessing compound flood risk in low-lying coastal areas. These extreme or non-extreme …

We describe the R package kdecopula (current version 0.9. 2), which provides fast
implementations of various kernel estimators for the copula density. Due to a variety of …

In the last decade, simplified vine copula models have been an active area of research.
They build a high dimensional probability density from the product of marginals densities …

Seismic fragility analysis is a common tool to reveal damage progression and assess
structural safety. However, the existing fragility analysis methodologies for sea-crossing …

Soils are natural ecosystems that provide ecosystem services, whose provision depends on
multiple soil properties, climate conditions and human management. Dependence among …

Low-lying coastal communities are often threatened by compound flooding (CF), which can
be determined through the joint occurrence of storm surges, rainfall and river discharge …