V2: distance between observation points

In RobinHankin/calibrator: Bayesian Calibration of Complex Computer Codes

Description

distance between observation points

Usage

V2(x, other = NULL,  phi)

Arguments

x	Matrix whose rows are observation points
other	Second matrix; if NULL, use x
phi	Hyperparameters

Details

This function returns the variance matrix of observations of the real process z at points D2={x_1,...,x_n}.

It appears in the lower right corner of the variance matrix on the bottom of page 1 of the supplement, calculated by function Vd().

It is also used in functions Cov.eqn9.supp() and V.fun().

Author(s)

Robin K. S. Hankin

References

• M. C. Kennedy and A. O'Hagan 2001. Bayesian calibration of computer models. Journal of the Royal Statistical Society B, 63(3) pp425-464

• M. C. Kennedy and A. O'Hagan 2001. Supplementary details on Bayesian calibration of computer models, Internal report, University of Sheffield. Available at http://www.tonyohagan.co.uk/academic/ps/calsup.ps

• R. K. S. Hankin 2005. Introducing BACCO, an R bundle for Bayesian analysis of computer code output, Journal of Statistical Software, 14(16)

See Also

V1

Examples

data(toys)
V2(D2.toy,other=NULL, phi=phi.toy)
V2(D2.toy,x.vec,phi=phi.toy)

RobinHankin/calibrator documentation built on April 27, 2021, 2:47 p.m.