Reproducing Kernel Hilbert Spaces in Probability and Statistics

Covers theoretical questions including the extension of the formalism, as well as more practical ones such as computational issues. This book focuses on statistical signal processing, nonparametric curve estimation, random measures, limit theorems, learning theory and some applications at the fringe between Statistics and Approximation Theory.