Statistical calibration of computer simulations

Reliability Engineering and System Safety

Volumn 91, Issue 10-11, 2006, Pages 1358-1363

  Campbell, Katherine ^a  

^a LOS ALAMOS NATIONAL LABORATORY   (United States)

Author keywords

Bayesian model calibration; Calibrated prediction; Calibration; Generalized likelihood uncertainty estimation; Prediction errors; Regional sensitivity analysis; Simulation; Statistical emulation; Uncertainty analysis

Indexed keywords

CALIBRATION; COMPUTER SIMULATION; MATHEMATICAL MODELS; OPTIMIZATION; PROBLEM SOLVING; SIMULATORS;

BAYESIAN MODEL CALIBRATION; CALIBRATED PREDICTION; GENERALIZED LIKELIHOOD UNCERTAINTY ESTIMATION; PREDICTION ERRORS; REGIONAL SENSITIVITY ANALYSIS; STATISTICAL EMULATION; UNCERTAINTY ANALYSIS;

STATISTICAL METHODS;

EID: 33745834387     PISSN: 09518320     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ress.2005.11.032     Document Type: Article

References (18)

1. Saltelli A., Tarantola S., Campolongo F., and Ratto M. Sensitivity analysis in practice: a guide to assessing scientific models (2004), Halstead Press, Great Britain
2. Higdon D., Kennedy M., Cavendish J., Cafeo J., and Ryne R.D. Combining field data and computer simulations for Calibration and Prediction. Siam J Sci Comput 26 (2004) 448-466
3. Kennedy M.C., and O'Hagan A. Bayesian calibration of computer models. J R Stat Soc B 63 (2001) 425-464
4. Hornberger G.M., and Spear R.C. Eutrophication in peel Inlet-I. The problem: defining behavior and a mathematical model for the phosphorus scenario. Water Res 14 (1980) 29-42
5. Spear R.C., and Hornberger G.M. Eutrophication in peel Inlet-II. Identification of critical uncertainties via generalized sensitivity analysis. Water Res 14 (1980) 43-49
6. Spear R.C., Grieb T.M., and Shang N. Parameter uncertainty and interaction in complex environmental models. Water Resour Res 30 (1994) 3159-3169
7. Beven K., and Binley A. The future of distributed models: model calibration and uncertainty prediction. Hydrol Process 6 (1992) 279-298
8. Romanowicz R., Beven K., and Tawn J.A. Evaluation of predictive uncertainty in nonlinear hydrological models using a Bayesian approach. In: Barnett V., and Turkman K.F. (Eds). Statistics for the environment 2: water related issues (1994) 297-317
9. Ratto M., Tarantola S., and Saltelli A. Sensitivity analysis in model calibration: GSA-GLUE approach. Comput Phys Commun 136 (2001) 212-224
10. Poole D., and Raftery A.E. Inference for deterministic simulation models: the Bayesian melding approach. J Amer Stat Assoc 95 (2000) 1244-1255
11. Cressie N.A.C. Statistics for spatial data (1993), Wiley Interscience, United States of America
12. Christensen R. Linear models for multivariate, time series and spatial data (1997), Springer, United States of America
13. Campbell K. Exploring Bayesian model calibration: a guide to intuition. Los Alamos National Laboratory Report LA-UR-02-7175.
14. O'Hagan A. Bayesian analysis of computer code outputs. In: Fourth international conference on sensitivity analysis of model output, Santa Fe, 2004, SAMO-04-07.
15. Rutherford B. A response-modeling alternative to surrogate models for support in computational analyses. Fourth international conference on sensitivity analysis of model output, Santa Fe, 2004, SAMO-04-57.
16. Kennedy M.C., and O'Hagan A. Predicting the output from a complex computer code when fast approximations are available. Biometrika 87 (2000) 1-13
17. Craig P.S., Goldstein M., Rougier J.C., and Seheult A.H. Bayesian forecasting for complex systems using computer simulators. J Amer Stat Assoc 96 (2001) 717-729
18. Goldstein M, Rougier J. Bayes linear calibrated prediction for complex systems. J Amer Stat Assoc, submitted, http://maths.dur.ac.uk/stats/people/jcr/jcr.html