Results 81 to 90 of about 32,199 (223)
Enjoy the Joy of Copulas: With a Package copula [PDF]
Copulas have become a popular tool in multivariate modeling successfully applied in many fields. A good open-source implementation of copulas is much needed for more practitioners to enjoy the joy of copulas.
Jun Yan
core
New Families of Bivariate Copulas via Unit Lomax Distortion
Risks, 2020 This article studies a new family of bivariate copulas constructed using the unit-Lomax distortion derived from a transformation of the non-negative Lomax random variable into a variable whose support is the unit interval.
Fadal Abdullah-A Aldhufairi +2 more
doaj +1 more source
Asymptotic independence in more than two dimensions and its implications on risk management
Canadian Journal of Statistics, Volume 54, Issue 1, March 2026.Abstract In extreme value theory, the presence of asymptotic independence signifies that joint extreme events across multiple variables are unlikely. Although well understood in a bivariate context, the concept remains relatively unexplored when addressing the nuances of simultaneous occurrence of extremes in higher dimensions.
Bikramjit Das, Vicky Fasen‐Hartmann
wiley +1 more source
Properties of Hierarchical Archimedean Copulas [PDF]
In this paper we analyse the properties of hierarchical Archimedean copulas. This class is a generalisation of the Archimedean copulas and allows for general non-exchangeable dependency structures. We show that the structure of the copula can be uniquely
Yarema Okhrin +2 more
core
On bivariate Archimedean copulas with fractal support
Dependence ModelingDue to their simple analytic form (bivariate) Archimedean copulas are usually viewed as very smooth and handy objects, which should distribute mass in a fairly regular and certainly not in a pathological way. Building upon recently established results on
Sánchez Juan Fernández +1 more
doaj +1 more source
Dependence Modeling, 2013 We study the impact of certain transformations within the class of Archimedean copulas. We give some admissibility conditions for these transformations, and define some equivalence classes for both transformations and generators of Archimedean copulas ...
Di Bernardino Elena, Rullière Didier
doaj +1 more source
Spline approximations to conditional Archimedean copula [PDF]
Stat, 2014 We propose a flexible copula model to describe changes with a covariate in the dependence structure of (conditionally exchangeable) random variables. The starting point is a spline approximation to the generator of an Archimedean copula. Changes in the dependence structure with a covariate x are modelled by flexible regression of the spline ...
openaire +4 more sources
Copula-based testing for dependence structures.. [PDF]
This thesis describes tests for specific dependence structures between two random variables, in particular: quadrant dependence, tail monotonicity and stochastic monotonicity.
Sznajder, Dominik
core
Bayesian Nonparametric Inference for a Multivariate Copula Function [PDF]
, 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
Nested Archimedean Copulas Meet R: The nacopula Package [PDF]
The package nacopula provides procedures for constructing nested Archimedean copulas in any dimensions and with any kind of nesting structure, generating vectors of random variates from the constructed objects, computing function values and probabilities
Marius Hofert, Martin Maechler
core