statsmodels.distributions.copula.api.StudentTCopula.dependence_tail¶ StudentTCopula.dependence_tail(corr=None)[source]¶ Bivariate tail dependence parameter. Joe (2014) p. 182 Parameters:¶ corrNone or floatPearson 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 23, 2024