Results 11 to 20 of about 738,290 (135)

Approximation multivariate distribution of main indices of tehran stock exchange with pair-copula [PDF]

open access: yes, 2013
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

Grouped Normal Variance Mixtures

open access: yesRisks, 2020
Grouped normal variance mixtures are a class of multivariate distributions that generalize classical normal variance mixtures such as the multivariate t distribution, by allowing different groups to have different (comonotone) mixing distributions.
Erik Hintz   +2 more
doaj   +1 more source

Quadratic transformation of multivariate aggregation functions

open access: yesDependence Modeling, 2020
In this work, we prove that quadratic transformations of aggregation functions must come from quadratic aggregation functions. We also show that this is different from quadratic transformations of (multivariate) semi-copulas and quasi-copulas.
Boonmee Prakassawat, Tasena Santi
doaj   +1 more source

Multivariate copulas, quasi-copulas and lattices [PDF]

open access: yesStatistics & Probability Letters, 2011
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

Pair-copula constructions of multiple dependence [PDF]

open access: yes, 2006
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

Bayesian Nonparametric Inference for a Multivariate Copula Function [PDF]

open access: yes, 2014
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

Differentiating synonyms and adjective subclasses by syntactic profiling

open access: yesLexis: Journal in English Lexicology, 2020
Twenty adjectives belonging to five intuitively recognizable semantic families, age (old, young), size (large, small, big), color (black, white, red, yellow, blue), modality (possible, impossible, necessary, likely, sure) and emotion (happy, sad, glad ...
Daniel Henkel
doaj   +1 more source

A Functional for Copulas and Quasi-Copulas [PDF]

open access: yesISRN Probability and Statistics, 2012
We recall and study some properties of a known functional operating on the set of n-copulas and determine conditions under such functional is well defined on the set of n-quasi-copulas. As a consequence, new families of copulas and quasi-copulas are defined, illustrating our results with several examples.
openaire   +2 more sources

On power stable quasi-copulas

open access: yesProceedings of the 8th conference of the European Society for Fuzzy Logic and Technology, 2013
In our contribution we discuss the power stability of 1-Lipschitz binary aggregation functions. The main result is the characterization of power stable quasi-copulas by means of their dependence functions. The notions are illustrated by examples.
Anna Kolesárová, Radko Mesiar
openaire   +3 more sources

Copula models in machine learning [PDF]

open access: yes, 2015
The introduction of copulas, which allow separating the dependence structure of a multivariate distribution from its marginal behaviour, was a major advance in dependence modelling.
Rey, Mélanie
core   +1 more source

Home - About - Disclaimer - Privacy