Description Usage Arguments Details Author(s) References See Also Examples
Returns a vector whose elements are the “distances” from a point
to the observations and code run points (tee()
); and basis
functions for use in Ez.eqn9.supp()
1 2 |
x |
Point from which distances are calculated |
theta |
Value of parameters |
D1,D2 |
Design matrices of code run points and field observation
points respectively ( |
H1,H2 |
Basis functions for eta and model inadequacy term
respectively ( |
phi |
Hyperparameters |
Equation 9 of the supplement is identical to equation 10 of KOH2001.
Function h.fun()
returns the first of the subsidiary equations
in equation 9 of the supplement and function tee()
returns the
second (NB: do not confuse this with functions t1bar()
and
t2bar()
which are internal to EK.eqn10.supp()
)
Robin K. S. Hankin
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)
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