num_pages: 377
description: 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.
language: English
title: Reproducing Kernel Hilbert Spaces in Probability and Statistics
titlecomplete: Reproducing Kernel Hilbert Spaces in Probability and Statistics
genres: Mathematics
ratings_count: 1
publisher: Springer