Results 11 to 20 of about 31,023 (304)
Approximation multivariate distribution of main indices of tehran stock exchange with pair-copula [PDF]
The multivariate distribution of five main indices of Tehran stock exchange is approximated using a pair-copula model. A vine graphical model is used to produce an n-dimensional copula.
Parham, Gholamali +2 more
core +7 more sources
Is a Normal Copula the Right Copula? [PDF]
We derive computationally simple and intuitive expressions for score tests of Gaussian copulas against Generalized Hyperbolic alternatives, including symmetric and asymmetric Student t, and many other examples. We decompose our tests into third and fourth moment components, and obtain one-sided Likelihood Ratio analogues, whose standard asymptotic ...
Amengual, Dante, Sentana, Enrique
openaire +2 more sources
23 pages, 3 ...
Marius Hofert, Frédéric Vrins
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Multivariate copulas, quasi-copulas and lattices [PDF]
We investigate some properties of the partially ordered sets of multivariate copulas and quasi-copulas. Whereas the set of bivariate quasi-copulas is a complete lattice, which is order-isomorphic to the Dedekind-MacNeille completion of the set of bivariate copulas, we show that this is not the case in higher dimensions.
Fernández-Sánchez, Juan +2 more
openaire +3 more sources
Trivariate copula to design coastal structures [PDF]
Some coastal structures must be redesigned in the future due to rising sea levels caused by climate change. The design of structures subjected to the actions of waves requires an accurate estimate of the long return period of such parameters as wave ...
O. Orcel, P. Sergent, F. Ropert
doaj +1 more source
Using a time-dependent copulas model, this study attempts to investigate the risk spillover from global energy markets to Pakistan’s agricultural commodities market.
Hira Saeed +2 more
doaj +1 more source
The t Copula and Related Copulas
Summary: The \(t\) copula and its properties are described with a focus on issues related to the dependence of extreme values. The Gaussian mixture representation of a multivariate \(t\) distribution is used as a starting point to construct two new copulas, the skewed \(t\) copula and the grouped \(t\) copula, which allow more heterogeneity in the ...
Demarta, Stefano, Mcneil, Alexander J.
openaire +3 more sources
Quasi-Copulas, Copulas and Fuzzy Implicators
In this paper, we study relations between fuzzy implicators and some kinds of fuzzy conjunctors, in particular, quasi-copulas and copulas. We show that there is a one-to-one correspondence between the classes of all quasi-copulas and 1-Lipschitz fuzzy implicators.
Radko Mesiar, Anna Kolesárová
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Bayesian Nonparametric Inference for a Multivariate Copula Function [PDF]
The paper presents a general Bayesian nonparametric approach for estimating a high dimensional copula. We first introduce the skew-normal copula, which we then extend to an infinite mixture model.
Wu, Juan, Wang, Xue, Walker, Stephen G.
core +1 more source
Pair-copula constructions of multiple dependence [PDF]
Building on the work of Bedford, Cooke and Joe, we show how multivariate data, which exhibit complex patterns of dependence in the tails, can be modelled using a cascade of pair-copulae, acting on two variables at a time.
Aas, Kjersti +3 more
core +1 more source

