This article develops a frequentist solution to the functional calibration problem, where the value of a calibration parameter in a computer model is allowed to vary with the value of control varia…
Additive models have been widely used as a flexible nonparametric regression method that can overcome the curse of dimensionality. Using sparsity-inducing penalty for variable selection, several me…
Incorporating covariates into functional principal component analysis (PCA) can substantially improve the representation efficiency of the principal components and predictive performance. However, …