On families of bivariate copulas and their interrelation with the Hilbert space l2 and the Hilbert cube H
Juan Fernández Sánchez, Wolfgang Trutschnig
Source abstract
The Markov kernel based metric was introduced in 2011 in order to construct the scale-invariant dependence measure , which assign each bivariate copula a dependence value in , with exclusively for the case of independence, and exclusively for complete/functional dependence. In the original paper it has been shown that the resulting metric space is separable and complete, however, no further topological properties were studied. Considering that has proved useful in a variety of contexts, using tools from infinite-dimensional topology, we here close this gap, show that is homeomorphic to the Hilbert space , and prove that several subfamilies are either homeomorphic to or to the Hilbert cube . Moreover, allowing for a better assessment of relative sizes, we show that various subfamilies are so-called -sets in , implying that they are topologically negligible in the full space.
Evidence graph
No public relationships recorded yet.
Integrity note: This page is a factual metadata record created by deterministic ingestion. It is not a claim that the work moves a mathematical frontier or has been independently verified.