statsmodels.distributions.copula.api.GaussianCopula.tau¶
- GaussianCopula.tau(corr=None)¶
Bivariate kendall’s tau based on correlation coefficient.
- Parameters:
corr (None or float) – Pearson correlation. If corr is None, then the correlation will be taken from the copula attribute.
- Returns:
Kendall’s tau that corresponds to pearson correlation in the
elliptical copula.