ks (version 1.3.2)

pre.sphere, pre.scale: Pre-sphering and pre-scaling

Description

Pre-sphered or pre-scaled version of data.

Usage

pre.sphere(x)
pre.scale(x)

Arguments

x

matrix of data values

Value

• Pre-sphered or pre-scaled version of data. These pre-transformations are required for implementing the plug-in Hpi selectors and the smoothed cross validation Hscv selectors.

Details

For pre-scaling, the data values are pre-multiplied by $\mathbf{S}^{-1/2}$ and for pre-scaling, by $(\mathbf{S}_D)^{-1/2}$ where $\mathbf{S}$ is the sample variance and $\mathbf{S}_D$ is $\mathrm{diag} \, (S_1^2, S_2^2)$ and $S_1^2, S_2^2$ are the marginal sample variances.

If $\mathbf{H}^*$ is the bandwidth matrix for the pre-transformed data and $\mathbf{H}$ is the bandwidth matrix for the original data, then $\mathbf{H}=\mathbf{S}^{1/2} \mathbf{H}^* \mathbf{S}^{1/2}$ or $\mathbf{H} = \mathbf{S}_D^{1/2} \mathbf{H}^*\mathbf{S}_D^{1/2}$ as appropriate.

References

Wand, M.P. & Jones, M.C. (1994) Multivariate plugin bandwidth selection. Computational Statistics 9, 97-116. Duong, T. & Hazelton, M.L. (2003) Plug-in bandwidth matrices for bivariate kernel density estimation. Journal of Nonparametric Statistics 15, 17-30.

Examples

x <- rmvnorm.mixt(1000, mus=c(0,0), Sigmas=rbind(c(1,0.2), c(0.2, 0.5))) 
x.sp <- pre.sphere(x)
x.sc <- pre.scale(x)
var(x.sp)
var(x.sc)