A pr 2 00 8 Bayesian Treed Gaussian Process Models with an Application to Computer Modeling

@inproceedings{Gramacy2005AP2,
  title={A pr 2 00 8 Bayesian Treed Gaussian Process Models with an Application to Computer Modeling},
  author={Robert B. Gramacy and Herbert K. H. Lee},
  year={2005}
}
Motivated by a computer experiment for the design of a rocket booster, this paper explores nonstationary modeling methodologies that couple stationary Gaussian processes with treed partitioning. Partitioning is a simple but effective method for dealing with nonstationarity. The methodological developments and statistical computing details which make this approach efficient are described in detail. In addition to providing an analysis of the rocket booster simulator, our approach is demonstrated… CONTINUE READING
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References

Publications referenced by this paper.
Showing 1-10 of 30 references

Bayesian CART Model Search (with discussion).

  • H. Chipman, E. George, R. McCulloch
  • Journal of the American Statistical Association,
  • 1998
Highly Influential
7 Excerpts

Automated CFD Parameter Studies on Distributed Parallel Computers.

  • S. E. Rogers, M. J. Aftosmis, S. A. Pandya, E.T.T.N.M. Chaderjian, J. U. Ahmad
  • In 16th AIAA Computational Fluid Dynamics…
  • 2003
Highly Influential
2 Excerpts

Bayesian Inference for Nonstationary Spatial Covariance Structure via Spatial Deformations.

  • A. M. Schmidt, A. O’Hagan
  • Journal of the Royal Statistical Society, Series…
  • 2003
2 Excerpts

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