plot.wb

Plots the output from <code>wave.band</code>.

manip

Computes Bayesian wavelet shrinkage credible intervals for
nonparametric regression.
The method uses cumulants to derive Bayesian credible intervals for
wavelet regression estimates.
The first four cumulants of the posterior distribution of the
estimates are expressed in terms of the observed data and integer
powers of the mother wavelet functions.
These powers are closely approximated by linear combinations of
wavelet scaling functions at an appropriate finer scale.
Hence, a suitable modification of the discrete wavelet transform allows
the posterior cumulants to be found efficiently for any data set.
Johnson transformations then yield the credible intervals themselves.
Barber, S., Nason, G.P. and Silverman, B.W. (2002)
<doi:10.1111/1467-9868.00332>.

Guy Nason

waveband

Computes Credible Intervals for Bayesian Wavelet Shrinkage

Stuart Barber

plot.wb function

<dl><dt>x</dt>
<dd>Object of class <code>wb</code> from the function <code>wave.band</code>.</dd><dt>col</dt>
<dd>Specifies whether the figure plotted is in colour or black and white.</dd><dt>...</dt>
<dd>Any other arguments.</dd></dl>

Arguments

Plots output from wave.band. — plot.wb

<dl>

<dt>x</dt>
<dd>Object of class <code>wb</code> from the function <code>wave.band</code>.</dd>

<dt>col</dt>
<dd>Specifies whether the figure plotted is in colour or black and white.</dd>

<dt>...</dt>
<dd>Any other arguments.</dd>

</dl>

plot.wb: Plots output from wave.band.

Description

Usage

Value

Arguments

Details

References

See Also