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Denis Bosq, Delphine Blanke - Inference and Prediction in Large Dimensions, Inbunden

Inbunden, Engelska, 2007

Inference and Prediction in Large Dimensions

Av Denis Bosq, Delphine Blanke

Del 805 i serien Wiley Series in Probability and Statistics

1206 kr

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Beskrivning
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.
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Denis Bosq is a Professor at the Laboratory of Theoretical and Applied Statistics, University of Pierre & Marie Curie – Paris 6. He has over 100 published papers, 5 books, and is chief editor of the journal ‘Statistical Inference for Stochastic Processes’ as well as associate editor for the ‘Journal of Non-Parametric Statistics’. He is a well-known specialist in the field of non-parametric statistical inference.

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"This book provides a rigorous and thorough account of modern mathematical statistics as applied to the classic problems of prediction, filtering, inference with kernels, and high-dimensional linear processes ... All in all, Large Sample Techniques in Statistics is an excellent book that I recommend whole-heartedly." (Journal of the American Statistical Association, 1 December 2011)

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