Inference and Prediction in Large Dimensions
Author | : Denis Bosq |
Publisher | : John Wiley & Sons |
Total Pages | : 336 |
Release | : 2008-03-11 |
ISBN-10 | : 0470724021 |
ISBN-13 | : 9780470724026 |
Rating | : 4/5 (026 Downloads) |
Download or read book Inference and Prediction in Large Dimensions written by Denis Bosq and published by John Wiley & Sons. This book was released on 2008-03-11 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers a predominantly theoretical coverage of statistical prediction, with some potential applications discussed, when data and/ or parameters belong to a large or infinite dimensional space. It develops the theory of statistical prediction, non-parametric estimation by adaptive projection – with applications to tests of fit and prediction, and theory of linear processes in function spaces with applications to prediction of continuous time processes. This work is in the Wiley-Dunod Series co-published between Dunod (www.dunod.com) and John Wiley and Sons, Ltd.