Calculating the first derivative of the pencopula likelihood function w.r.t. parameter b.
Derv1(penden.env,temp.lam=FALSE,temp.ck=FALSE)Containing all information, environment of pencopula().
Calculating with temporal smoothing parameter lambda
Calculating with temporal weights ck of the spline basis functions
first order derivation of the penalized likelihood.
Flexible Copula Density Estimation with Penalized Hierarchical B-Splines, Kauermann G., Schellhase C. and Ruppert, D. (2013), Scandinavian Journal of Statistics 40(4), 685-705.
Estimating Non-Simplified Vine Copulas Using Penalized Splines, Schellhase, C. and Spanhel, F. (2017), Statistics and Computing.