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Functional methods for time series prediction: a nonparametric approach

  • Germán Aneiros‐Pérez
  • Ricardo Cao
  • Juan M. Vilar‐Fernández
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    The problem of prediction in time series using nonparametric functional techniques is considered. An extension of the local linear method to regression with functional explanatory variable is proposed. This forecasting method is compared with the functional Nadaraya–Watson method and with finite-dimensional nonparametric predictors for several real‐time series. Prediction intervals based on the bootstrap and conditional distribution estimation for those nonparametric methods are also compared. Copyright (C) 2010 John Wiley & Sons, Ltd.

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    File URL: http://hdl.handle.net/10.1002/for.1169
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    Article provided by John Wiley & Sons, Ltd. in its journal Journal of Forecasting.

    Volume (Year): 30 (2011)
    Issue (Month): 4 (July)
    Pages: 377-392

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    Handle: RePEc:jof:jforec:v:30:y:2011:i:4:p:377-392
    Contact details of provider: Web page: http://www3.interscience.wiley.com/cgi-bin/jhome/2966

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