Cross Validated Spline Methods for Direct and Indirect Sensing Experiments.

摘要

We first give an overview of cross-validated smoothing spline methods for the analysis of data from direct and indirect sensing experiments. Then we summarize some results involving two particular applications of the approach: (1) a deconvolution problem with nonnegativity constraints on the solution; (2) estimation of horizontal divergence and vorticity from discrete, scattered, global measurements of the upper air wind field.