Inference and prediction in large dimensions
Book information
Description
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.
Similar books
Inference and Prediction in Large Dimensions (Wiley Series in Probability and Statistics)
2007 · PDF
Inference and prediction in large dimensions
2007 · PDF
Mathematical Statistics and Stochastic Processes
2012 · PDF
A Course in Stochastic Processes: Stochastic Models and Statistical Inference
1996 · PDF
MySQL® Notes for Professionals book
2018 · PDF
MrExcel 2022: Boosting Excel
2022 · PDF
MrExcel 2022: Boosting Excel
2022 · PDF
Session C11: Ancient Cultural Landscapes in South Europe – their Ecological Setting and Evolution, Session C22: Gardeners from South America, Session S04: Agro-Pastoralism and Early Metallurgy Sessions, Session WS29: The Idea of Enclosure in Recent Iberian Prehistory, Session C88: Rhytmes et causalites des dynamiques de l'anthropisation en Europe entre 6500 ET 500 BC: Hypotheses socio-culturelles et/ou climatiques: Proceedings of the XV UISPP World Congress (Lisbon 4-9 September 2006) / Actes du XV Congrès Mondial (Lisbonne 4-9 Septembre 2006) Vol.36
2010 · PDF