List of Papers

Journal Papers

  1. Bursztyn, D., and Steinberg, D., “Comparison of designs for computer experiments,” Journal of Statistical Planning and Inference, Vol. 136, 2006, pp. 1103-1119. (PDF , 159K, requires Adobe Acrobat Reader)

  2. Cherry, S., Banfield, J., and Quimby, W.F., “An Evaluation of a non-parametric method of estimating semi-variograms of isotropic spatial processes,” Journal of Applied Statistics, Vol. 23, No.4, 1996, pp. 435-449. (PDF , 213K, requires Adobe Acrobat Reader)

  3. Conti, S., Gosling, J. P., Oakley, J. E., and O'Hagan, A. “Gaussian process emulation of dynamic computer codes,” Biometrika, Vol. 96, 2009, pp. 663-676. (PDF , 314K, requires Adobe Acrobat Reader)

  4. Drignei, D. and Morris, M. D. “Empirical Bayesian Analysis for Computer Experiments Involving Finite-Difference Codes,” JASA, Vol. 101, 2006, pp. 1527-1536. (PDF , 501K, requires Adobe Acrobat Reader)

  5. Hall, P.,Fisher, N., and Hoffman, B., “On the Nonparametric Estimation of Covariance Functions,” The Annals of Statistics, Vol. 22, No. 4, 1994, pp. 2115-2134. (PDF , 1440K, requires Adobe Acrobat Reader)

  6. Hankin, R., “Introducing BACCO, an R Bundle for Bayesian Analysis of Computer Code Output,” Journal of STatistical Software, Issue 16, 2005. (PDF , 676K, requires Adobe Acrobat Reader)

  7. Huang,D.,Allen, T.T.,Notz,W.,Miller, R.A., “Sequential Kriging Optimization Using Multiple Fidelity Evaluations,” to appear in Structural and Multidisciplinary Optimization.

  8. Jones, B. and Johnson, R. T., “Design and Analysis for the Gaussian Process Model (with discussion),” Qual. Reliab. Eng. Int., Vol. 25, 2009, pp. 515-524. (PDF , 407K, requires Adobe Acrobat Reader)

  9. Kaufman, C. and Bingham, D. “Efficient Emulators of Computer Experiments Using Compactly Supported Correlation Functions,” UC Berkely Technical Report, 2009.

  10. Kennedy, M. C., and O'Hagan, A., “Predicting the output of a complex computer code when fast approximations are available,” Biometrika, Vol. 87, 2000, pp. 1-14. (PDF , 3000K, requires Adobe Acrobat Reader)

  11. Kennedy, M. C., and O'Hagan, A., “Bayesian calibration of computer models,” Biometrika, Vol. 63, 2001, pp. 425-454. (PDF , 228K, requires Adobe Acrobat Reader)

  12. Kleijnen, J. P. C. and van Beers, W. C. M., “Monotonicity-preserving Bootstrapped Kriging Metamodels,” TechnicalReport WP 6. Department of Information Systems and Management and Center for Economic Research,Tilburg University. Postbox 90153, 5000 LE Tilburg, Netherlands., 2009. (PDF , 228K, requires Adobe Acrobat Reader)

  13. Oakley, J. “Estimating percentiles of uncertain computer code outputs,” Appl. Statist., Vol. 53, No.1, 2004, pp. 83-93. (PDF , 124K, requires Adobe Acrobat Reader)

  14. Oakley, J., and O'Hagan, A., “Probabilistic sensitivity analysis of complex models: a Bayesian approach,” J. R. Statist. Soc. B, Vol. 66, No.3, 2004, pp. 751-769. (PDF , 344K, requires Adobe Acrobat Reader)

  15. Sacks, J., Welch, W. J., Mitchell, T. J, and Wynn, H. P., “Design and analysis of computer experiments,” Statistical Science, Vol. 4, No.4, 1989, pp. 409-435. (PDF , 2700K, requires Adobe Acrobat Reader)

  16. Schonlau, M. and Welch, W. J., “Screening the input variables to a computer model via analysis of variance and visualization,” Screening Methods for Experimentation in Industry, Drug Discovery, and Genetics. Editors Dean, A. and Lewis, S., Springer 2006, pp. 308-327. (PDF , 653K, requires Adobe Acrobat Reader)

  17. Tang, B. “Orthogonal array-based latin hypercubes,” JASA, Vol. 88, 1993, pp. 1392-1397. (PDF , 1100K, requires Adobe Acrobat Reader)

  18. Welch, W. “Branch-and-Bound Search for Experimental Designs Based on D Optimality and Other Criteria,” Technometrics, Vol. 24, 1982, pp. 41-48. (PDF , 229K, requires Adobe Acrobat Reader)

  19. Welch, W. “Computer-Aided of Design Experiments for Estimation Response,” Technometrics, Vol. 26, 1984, pp. 217-224. (PDF , 1160K, requires Adobe Acrobat Reader)



Technical Reports

  1. Bayarri, M. J., Berger, J. O., Paulo, R., Sacks, J., Cafeo, J. A., Cavendish, J., Lin, C. H., and Tu, J., “A framework for validation of computer models,” (PDF , 388K, requires Adobe Acrobat Reader)

  2. Joseph, V.R., “Limit Kriging,” School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, GA. (PDF , 238K, requires Adobe Acrobat Reader)

  3. Higdon, D., Gattiker, J., Williams, “Computer Model Calibration Using High-Dimensional Data,” Los Alamos National Laboratory. (PDF , 1099K, requires Adobe Acrobat Reader)

  4. Hankin, R., “BACCO version 1.0-24 ” (file , 278K, zipped file)

  5. Marin, O., “Sobol sequences ” (pdf , 315K, requires Adobe Acrobat Reader)

  6. Notz, W., “Bacco emulator example ” (file , 12K, text file)

  7. Notz, W., “Bacco calibrator example ” (file , 72K, text file)

  8. Notz, W., “Emulator example ” (file , 4K, text file)

  9. Notz, W., “Some R code for the gaussian correlation function ” (file , 4K, text file)

  10. Notz, W., “Some R code for the cubic correlation function ” (file , 4K, text file)

  11. Notz, W., “Some R code for the multidimensional cubic correlation function ” (file , 4K, text file)

  12. Notz, W., “Some SAS code ” (pdf , 784K, requires Adobe Acrobat Reader)

  13. Notz, W., “Some notes on design ” (pdf , 536K, requires Adobe Acrobat Reader)

  14. Notz, W., “JSM 2006 IOL design talk ” (pdf , 332K, requires Adobe Acrobat Reader)

BACCO Software

  1. Calibrator.zip
  2. Approximator.zip
  3. Emulator.zip


Computer Experiments Journal Club



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E-Mail: win@stat.ohio-state.edu
Last modified on: October 2, 2007