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Non-parametric smoothing and prediction for nonlinear circular time series

โœ Scribed by Macro Di Marzio; Agnese Panzera; Charles C. Taylor

Book ID
115225873
Publisher
John Wiley and Sons
Year
2012
Tongue
English
Weight
583 KB
Volume
33
Category
Article
ISSN
0143-9782

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## Abstract We consider the use of generalized additive models with correlated errors for analysing trends in time series. The trend is represented as a smoothing spline so that it can be extrapolated. A method is proposed for choosing the smoothing parameter. It is based on the ability to predict