logbias: Bias of shinkage rule under logistic prior.

In Alexestat/bayesShrink: Bayesian wavelet shrinkage

Description

Provides the bias of the wavelet shrinkage rule under logistic prior.

Usage

logbias(theta, alpha, t, s)

Arguments

theta	Wavelet coefficients vector.
alpha	Weight of the point mass at zero function of the prior.
t	Scale parameter of the logistic prior.
s	Standard deviation of the normal random noise.

Value

Vector of bias of the shrinkage rule.

Examples

logbias(c(0,1,2),0.9,1,1)

Alexestat/bayesShrink documentation built on Oct. 6, 2020, 12:42 a.m.