exp2d {tgp} | R Documentation |
A 2-dimensional data set that can be used to validate non-stationary models.
data(exp2d)
A data frame
with 441 observations on the following 4 variables.
X1
X
inputsX2
X
inputsZ
Z(X)+N(0,sd=0.001)
Ztrue
Z(X)
,
without noiseThe response is evaluated as
Z(X) = X1 * exp(-X1^2 -X2^2).
Zero-mean normal noise
with sd=0.001
has been added to the response
This data is used in the examples of the functions listed above in
the “See Also” section via the exp2d.rand
function
Robert B. Gramacy rbgramacy@ams.ucsc.edu
Gramacy, R. B., Lee, H. K. H., & Macready, W. (2004). Parameter space exploration with Gaussian process trees. ICML (pp. 353–360). Omnipress & ACM Digital Library.
Gramacy, R. B. & Lee, H. K. H. (2005). Gaussian Processes and Limiting Linear Models. available as UCSC Technical Report ams2005-17
http://www.ams.ucsc.edu/~rbgramacy/tgp.php
{link{exp2d.rand}
, tgp
,
bgpllm
, btlm
,
blm
, bgp
, btgpllm
,
bgp