statsmodels.distributions.copula.api.StudentTCopula.dependence_tail

StudentTCopula.dependence_tail(corr=None)[source]

Bivariate tail dependence parameter.

Joe (2014) p. 182

Parameters:
corrNone or float

Pearson correlation. If corr is None, then the correlation will be taken from the copula attribute.

Returns:
Lower and upper tail dependence coefficients of the copula with given
Pearson correlation coefficient.

Last update: Dec 16, 2024