calibrator (version 1.2-8)

V2: distance between observation points

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 \(D_2=\left\{x_1,\ldots,x_n\right\}\).

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().

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

Run this code
# NOT RUN {
data(toys)
V2(D2.toy,other=NULL, phi=phi.toy)
V2(D2.toy,x.vec,phi=phi.toy)
# }

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