Integrated analysis of computer and physical experiments

Technometrics

Volumn 46, Issue 2, 2004, Pages 153-164

  Reese, C Shane ^a   Wilson, Alyson G ^b   Hamada, Michael ^b   Martz, Harry F ^b   Ryan, Kenneth J ^c  

^a BRIGHAM YOUNG UNIVERSITY   (United States)

^b LOS ALAMOS NATIONAL LABORATORY   (United States)

^c UNIVERSITY OF ILLINOIS AT CHICAGO   (United States)

Author keywords

Bayesian hierarchical models; Calibration; Regression

Indexed keywords

BAYESIAN HIERARCHICAL MODELS; HYPERPARAMETER DISTRIBUTIONS; MICROENCAPSULATION;

COMPUTERS; DATA ACQUISITION; EXPERT SYSTEMS; FLUIDIZED BEDS; MATHEMATICAL MODELS; MONTE CARLO METHODS; PARAMETER ESTIMATION; PROBABILITY DISTRIBUTIONS; REGRESSION ANALYSIS; STATISTICAL TESTS; THERMAL EFFECTS; THERMODYNAMICS;

DATA REDUCTION;

EID: 2442445239     PISSN: 00401706     EISSN: None     Source Type: Trade Journal    
DOI: 10.1198/004017004000000211     Document Type: Article

References (24)

1. Agliari, A., and Parisetti, C. C. (1988), "A g Reference Informative Prior: A Note on Zellner's g-Prior," The Statistician, 37, 271-275.
2. Berry, D. A. (1996), Statistics: A Bayesian Perspective, New York: Duxbury Press.
3. Broemeling, L. (1985), Bayesian Analysis of Linear Models, New York: Marcel Dekker.
4. Chipman, H., Hamada, M., and Wu, C. F. J. (1997), "A Bayesian Variable-Selection Approach for Analyzing Designed Experiments With Complex Aliasing," Technometrics, 39, 372-381.
5. Craig, P. S., Goldstein, M., Rougier, J. C., and Seheult, A. H. (2001), "Bayesian Forecasting for Complex Systems Using Computer Simulators," Journal of the American Statistical Association, 96, 717-729.
6. Currin, C., Mitchell, T. J., Morris, M. D., and Ylvisaker, D. (1991), "Bayesian Prediction of Deterministic Functions, With Applications to the Design and Analysis of Computer Experiments," Journal of the American Statistical Association, 86, 953-963.
7. Dewettinck, K., Visscher, A. D., Deroo, L., and Huyghebaert, A. (1999), "Modeling the Steady-State Thermodynamic Operation Point of Top-Spray Fluidized Bed Processing," Journal of Food Engineering, 39, 131-143.
8. Draper, D., Gaver, D. P., Goel, P. K., Greenhouse, J. B., Hedges, L. V., Morris, C. N., Tucker, J. R., and Waternaux, C. M. (1992), "Selected Statistical Methodology for Combining Information (CI)," in Combining Information: Statistical Issues and Opportunities for Research, eds. D. Cochran and J. Farrally, Washington, DC: National Academy Press, Chap. 4.
9. Draper, N. R., and Smith, H. (1998), Applied Regression Analysis, New York: Wiley.
10. Gelman, A., Carlin, J. B., Stern, H. S., and Rubin, D. B. (1995), Bayesian Data Analysis, London: Chapman & Hall.
11. Gilks, W. R., Richardson, S., and Spiegelhalter, D. J. (1996), Markov Chain Monte Carlo in Practice, London: Chapman & Hall.
12. Hastings, W. K. (1970), "Monte Carlo Sampling Methods Using Markov Chains and Their Applications," Biometrika, 57, 97-109.
13. Hedges, L. V., and Olkin, I. (1987), Statistical Methods for Meta Analysis, New York: Wiley.
14. Kennedy, M. C., and O'Hagan, A. (2001), "Bayesian Calibration of Computer Models" (with discussion), Journal of the Royal Statistical Society, Ser. B, 63, 425-464.
15. McKay, M. D., Beckman, R. J., and Conover, W. J. (1979), "A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output From a Computer Code," Technometrics, 21, 239-245.
16. Meyer, M. A., and Booker, J. M. (1990), Eliciting and Analyzing Expert Judgment, Washington, DC: U.S. Nuclear Regulatory Commission.
17. Müller, P., Parmigiani, G., Schildkraut, J., and Tardella, L. (1999), "A Bayesian Hierarchical Approach for Combining Case-Control and Prospective Studies," Biometrics, 55, 858-866.
18. Sacks, J., Welch, W. J., Mitchell, T. J., and Wynn, H. P. (1989), "Design and Analysis of Computer Experiments," Statistical Science, 4, 409-423.
19. Santner, T. J., Williams, B. J., and Notz, W. I. (2003), The Design and Analysis of Computer Experiments, New York: Springer-Verlag.
20. Shapiro, S. (1994), "Meta-Analysis/Shmeta-Analysis," American Journal of Epidemiology, 140, 771-791.
21. Silverman, B. W. (1986), Density Estimation for Statistics and Data Analysis, London: Chapman & Hall.
22. Welch, W. J., Buck, R. J., Sacks, J., Wynn, H. P., Mitchell, T. J., and Morris, M. D. (1992), "Screening, Predicting, and Computer Experiments," Technometrics, 34, 15-25.
23. Zeckhauser, R. (1971), "Combining Overlapping Information," Journal of the American Statistical Association, 66, 91-92.
24. Zellner, A. (1986), "On Assessing Prior Distributions and Bayesian Regression Analysis With g-Prior Distributions," in Bayesian Inference and Decision Techniques, eds. P. Goel and A. Zellner, New York: Elsevier Science, pp. 233-243.