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. XXII, 355 p.
- Contributor: Alain Berlinet
- Imprint: Springer-Verlag New York Inc.
- ISBN13: 9781402076794
- Number of Pages: 355
- Packaged Dimensions: 155x235mm
- Packaged Weight: 1580
- Format: Hardback
- Publisher: Springer-Verlag New York Inc.
- Release Date: 2003-12-31
- Binding: Hardback