Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/66303
Authors: 
Franke, Jürgen
Kreiss, Jens-Peter
Mammen, Enno
Year of Publication: 
1997
Series/Report no.: 
Discussion Papers, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes 1997,20
Abstract: 
Kernel smoothing in nonparametric autoregressive schemes offers a powerful tool in modelling time series. In this paper it is shown that the bootstrap can be used for estimating the distribution of kernel smoothers. This can be done by mimicking the stochastic nature of the whole process in the bootstrap resampling or by generating a simple regression model. Consistency of these bootstrap procedures will be shown.
Persistent Identifier of the first edition: 
Document Type: 
Working Paper

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