I computed the kernel estimators for the copula density for two random variables using:
kde.fit <- kdecop(u)
As the values of density can be greater than one I was wondering if I can normalized values by the maximum magnitude and call it normalized joint probability density?
Here is the bivariate copula density and the normalized bivariate copula density
Normalized bivarite copula density:
Thanks in advance for any helps.