copulacdf

Copula cumulative distribution function

Description

y = copulacdf('Gaussian',u,rho) returns the cumulative probability of the Gaussian copula, with linear correlation parameters rho evaluated at the points in u.

y = copulacdf('t',u,rho,nu) returns the cumulative probability of the t copula, with linear correlation parameters, rho, and degrees of freedom parameter nu evaluated at the points in u.

example

y = copulacdf(family,u,alpha) returns the cumulative probability of the bivariate Archimedean copula of the type specified by family, with scalar parameter alpha evaluated at the points in u.

Examples

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Define two 10-by-10 matrices containing the values at which to compute the cdf.

u = linspace(0,1,10);
[u1,u2] = meshgrid(u,u);

Compute the cdf of a Clayton copula that has an alpha parameter equal to 1, at the values in u.

y = copulacdf('Clayton',[u1(:),u2(:)],1);

Plot the cdf as a surface, and label the axes.

surf(u1,u2,reshape(y,10,10))
xlabel('u1')
ylabel('u2') Input Arguments

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Values at which to evaluate the cdf, specified as a matrix of scalar values in the range [0,1]. If u is an n-by-p matrix, then its values represent n points in the p-dimensional unit hypercube. If u is an n-by-2 matrix, then its values represent n points in the unit square.

If you specify a bivariate Archimedean copula type ('Clayton', 'Frank', or 'Gumbel'), then u must be an n-by-2 matrix.

Data Types: single | double

Linear correlation parameters for the copula, specified as a scalar value or matrix of scalar values.

• If u is an n-by-p matrix, then rho is a p-by-p correlation matrix.

• If u is an n-by-2 matrix, then rho can be a scalar correlation coefficient.

Data Types: single | double

Degrees of freedom for the t copula, specified as a positive integer value.

Data Types: single | double

Bivariate Archimedean copula family, specified as one of the following.

 'Clayton' Clayton copula 'Frank' Frank copula 'Gumbel' Gumbel copula

Bivariate Archimedean copula parameter, specified as a scalar value. Permitted values for alpha depend on the specified copula family.

Copula FamilyPermitted Alpha Values
'Clayton'[0,∞)
'Frank'(-∞,∞)
'Gumbel'[1,∞)

Data Types: single | double

Output Arguments

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Cumulative distribution function of the copula, evaluated at the points in u, returned as a vector of scalar values.