Calculating the second order derivative with and without penalty.
Derv2(penden.env, temp.lam = FALSE,temp.ck=FALSE,lam.fit=NULL)Containing all information, environment of pendensity()
Calculating with temporal smoothing parameter lambda
Calculating with temporal weights ck of the spline basis functions
Indicating if the iterations for a new lambda are running
second order derivative w.r.t. beta with penalty
second order derivative w.r.t. beta without penalty. Needed for calculating of e.g. AIC.
We approximate the second order derivative in this approach with the negative fisher information.
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.