NewBEVAsyLogisticCopula function

Creates a bivariate asymmetric logistic model extreme value copula

Creates a bivariate asymmetric logistic model extreme value copula

Creates an instance of the bivariate asymmetric logistic model extreme value copula with parameters rr, θ\theta and ϕ\phi.

NewBEVAsyLogisticCopula(r, theta, phi)

Arguments

  • r: real.
  • theta: real.
  • phi: real.

Returns

A function that evaluates the bivariate asymmetric logistic model EV copula (with parameters rr, θ\theta and phiphi) at a given 22-dimensional vector in the unit square. The environment of the function also contains a function called pdfCopula that evaluates the probability density function of the bivariate asymmetric mixed model EV copula via automatic differentation.

Details

The dependence function for this bivariate EV copula is

A(w)=(θ(1w)r+(ϕw)r)1/r+(θϕ)w+1θ A(w) = (\theta (1-w)^r + (\phi w)^r)^{1/r} + (\theta - \phi) w + 1 - \theta

Necessary and sufficient conditions for the dependence function to be valid are

  • r1r \ge 1
  • 0θ00 \le \theta \le 0
  • 0ϕ10 \le \phi \le 1

For θ=ϕ=1\theta = \phi = 1 this model reduces to the symmetric logistic model.

See Also

NewBEVLogisticCopula, NewMEVAsyLogisticCopula

Author(s)

Berwin A. Turlach berwin.turlach@gmail.com

  • Maintainer: Berwin A. Turlach
  • License: GPL (>= 2)
  • Last published: 2025-04-13

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