Reproducing Kernel Hilbert Spaces in Probability and Statistics

by Alain Berlinet, Christine Thomas-Agnan

The book covers theoretical questions including the latest extension of the formalism, and computational issues and focuses on some of the more fruitful and promising applications, including statistical signal processing, nonparametric curve estimation, random measures, limit theorems, learning theory and some applications at the fringe between Statistics and Approximation Theory. It is geared to graduate students in Statistics, Mathematics or Engineering, or to scientists with an equivalent level.

Genres: Mathematics

377 pages, Paperback

First published December 31, 2003