Inference and Prediction in Large Dimensions

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. <p>This work is in the Wiley-Dunod Series co-published between Dunod (<a href=”http://www.dunod.com/”>www.dunod.com</a>) and John Wiley and Sons, Ltd.</p>