MRFA: Fitting and Predicting Large-Scale Nonlinear Regression Problems
using Multi-Resolution Functional ANOVA (MRFA) Approach
Performs the MRFA approach proposed by Sung et al. (2019+) <arXiv:1709.07064> to fit
and predict nonlinear regression problems, particularly for large-scale and
high-dimensional problems. The application includes deterministic or stochastic
computer experiments, spatial datasets, and so on.
Please use the canonical form
to link to this page.