This article shows how a non-decimated wavelet packet transform (NWPT)
can be used to model a response time series, Yt, in terms of an explanatory
time series, Xt. The proposed computational technique transforms
the explanatory time series into a NWPT representation and then uses
standard statistical modelling methods to identify which wavelet
packets are useful for modelling the response time series. We exhibit
S-Plus functions from the freeware WaveThresh package that implement
our methodology.
%0 Journal Article
%1 Nason.Sapatinas2002
%A Nason, Guy P.
%A Sapatinas, Theofanis
%D 2002
%J Statistics and Computing
%K imported
%N 1
%P 45--56
%R 10.1023/A:1013168221710
%T Wavelet packet transfer function modelling of nonstationary time
series
%V 12
%X This article shows how a non-decimated wavelet packet transform (NWPT)
can be used to model a response time series, Yt, in terms of an explanatory
time series, Xt. The proposed computational technique transforms
the explanatory time series into a NWPT representation and then uses
standard statistical modelling methods to identify which wavelet
packets are useful for modelling the response time series. We exhibit
S-Plus functions from the freeware WaveThresh package that implement
our methodology.
@article{Nason.Sapatinas2002,
abstract = {This article shows how a non-decimated wavelet packet transform (NWPT)
can be used to model a response time series, Yt, in terms of an explanatory
time series, Xt. The proposed computational technique transforms
the explanatory time series into a NWPT representation and then uses
standard statistical modelling methods to identify which wavelet
packets are useful for modelling the response time series. We exhibit
S-Plus functions from the freeware WaveThresh package that implement
our methodology.},
added-at = {2011-09-01T13:26:03.000+0200},
author = {Nason, Guy P. and Sapatinas, Theofanis},
biburl = {https://www.bibsonomy.org/bibtex/2dcb1b3975d09c49eff889bf58b4bdb7d/procomun},
doi = {10.1023/A:1013168221710},
file = {Nason.Sapatinas2002.pdf:Nason.Sapatinas2002.pdf:PDF},
interhash = {a870701b1c8810d40b1526edf3e230f3},
intrahash = {dcb1b3975d09c49eff889bf58b4bdb7d},
journal = {Statistics and Computing},
keywords = {imported},
month = jan,
number = 1,
owner = {oscar},
pages = {45--56},
timestamp = {2011-09-02T08:25:25.000+0200},
title = {Wavelet packet transfer function modelling of nonstationary time
series},
volume = 12,
year = 2002
}