Abstract

Copulae became an extremely popular tool in different areas of research. Since the first applications in risk management in the late 90th, they attracted many other quantitatively oriented sciences like biostatistics, hydrology and finance. The main reason originates in the  Sklar (1959) theorem, which allows for separation of the marginal distributions from the dependency structure between the random variables.

This editorial is organized as follows. In the first section we define the copulae and state the Sklar theorem. Some literature suggestions are given in the second section. The last section presents the content of this special issue.