exp2d {tgp}R Documentation

2-d Exponential Data

Description

A 2-dimensional data set that can be used to validate non-stationary models.

Usage

data(exp2d)

Format

A data frame with 441 observations on the following 4 variables.

X1
Numeric vector describing the first dimension of X inputs
X2
Numeric vector describing the second dimension of X inputs
Z
Numeric vector describing the response Z(X)+N(0,sd=0.001)
Ztrue
Numeric vector describing the true response Z(X), without noise

Details

The 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

Note

This data is used in the examples of the functions listed above in the “See Also” section via the exp2d.rand function

Author(s)

Robert B. Gramacy rbgramacy@ams.ucsc.edu

References

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

See Also

{link{exp2d.rand}, tgp, bgpllm, btlm, blm, bgp, btgpllm, bgp


[Package tgp version 1.1-5 Index]