Sentence examples for multivariate distributions from inspiring English sources

It is realized that many multivariate distributions possess the NSD property exhibited in practical examples.

On this basis, the Pair-Copula construction method was proposed to build flexible multivariate distributions.

Zonoid trimming for multivariate distributions is considered in ([Koshevoy and Mosler 1997]; [Mosler 2002]).

Inter-relationships between kindred variables are taken into account using multivariate distributions based on copulas and the marginal distributions involved.

Different construction non-parametric procedures in order to address multivariate distributions have been also presented [21, 30, 31].

We conclude this section by noting the availability of multivariate distributions with Pareto conditionals rather than Pareto marginals.

The copula-based technique is a powerful method in modeling non-Gaussian multivariate distributions with non-linear inter-dimensional dependency.

As stated by Sklar (1959), copula couples the multivariate distribution to its marginal distributions which are uniformly distributed on [0,1].

Therefore, any multivariate distribution is applicable.

Copula is a function with multivariate distribution.

First, the multivariate distribution of the asset returns is fitted by a multivariate distribution.