The study of copulas and their applications in statistics is a rather modern phenomenon.
Until quite recently, it was difficult to even locate the word “copula” in the statistical literature …

The idea for this book came from the time the authors spent at the Statistics and Applied
Mathematical Sciences Institute (SAMSI) in Research Triangle Park in North Carolina …

The history of triangular norms started with the paper" Statistical metrics"[Menger 1942]. The
main idea of Karl Menger was to construct metric spaces where probability distributions …

Copula Methods in Finance is the first book to address the mathematics of copula functions
illustrated with finance applications. It explains copulas by means of applications to major …

Although extremely flexible and obviously useful for many risk assessment problems, Monte
Carlo methods have four significant limitations that risk analysts should keep in mind.(1) Like …

The first comprehensive account of the theory of mass transportation problems and its
applications. In Volume I, the authors systematically develop the theory with emphasis on …

This article explores the copula approach for econometric modeling of joint parametric
distributions. Although theoretical foundations of copulas are complex, this paper …

The functional equation of associativity is the topic of Abel's first contribution to Crelle's
Journal. Seventy years later, it was featured as the second part of Hilbert's Fifth Problem …

Copulas are used to specify dependence between two or more random variables. The last
few years have seen a surge of developments of parametric models for copulas. Here, we …

The construction of a probabilistic model is a key step in most decision and risk analyses.
Typically this is done by defining a joint distribution in terms of marginal and conditional …