| V2 {calibrator} | R Documentation |
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 |
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().
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
Examples
data(toys)
V2(D2.toy,other=NULL, phi=phi.toy)
V2(D2.toy,x.vec,phi=phi.toy)