메뉴 건너뛰기




Volumn 197, Issue 29-32, 2008, Pages 2431-2441

A Bayesian calibration approach to the thermal problem

Author keywords

Certification; Computer experiments; Functional data analysis; Gaussian process; Predictability; Predictive science; Uncertainty quantification; Verification and validation

Indexed keywords

CALIBRATION; COMPUTER SIMULATION; DATA REDUCTION; GAUSSIAN DISTRIBUTION; STATISTICAL METHODS;

EID: 43049114882     PISSN: 00457825     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.cma.2007.05.031     Document Type: Article
Times cited : (135)

References (12)
  • 1
    • 0035648165 scopus 로고    scopus 로고
    • Bayesian calibration of computer models (with discussion)
    • Kennedy M., and O'Hagan A. Bayesian calibration of computer models (with discussion). J. Royal Stat. Soc. (Ser. B) 68 (2001) 425-464
    • (2001) J. Royal Stat. Soc. (Ser. B) , vol.68 , pp. 425-464
    • Kennedy, M.1    O'Hagan, A.2
  • 2
    • 43049130038 scopus 로고    scopus 로고
    • D. Higdon, J.R. Gattiker, B.J. Williams, Computer model calibration using high dimensional output, Los Alamos National Laboratory Technical Report LA-UR-07-1444 (2007).
    • D. Higdon, J.R. Gattiker, B.J. Williams, Computer model calibration using high dimensional output, Los Alamos National Laboratory Technical Report LA-UR-07-1444 (2007).
  • 5
    • 84972517827 scopus 로고
    • Design and analysis of computer experiments (with discussion)
    • Sacks J., Welch W.J., Mitchell T.J., and Wynn H.P. Design and analysis of computer experiments (with discussion). Stat. Sci. 4 (1989) 409-423
    • (1989) Stat. Sci. , vol.4 , pp. 409-423
    • Sacks, J.1    Welch, W.J.2    Mitchell, T.J.3    Wynn, H.P.4
  • 6
    • 43049094461 scopus 로고    scopus 로고
    • J. Kern, Bayesian process-convolution approaches to specifying spatial dependence structure, Ph.D. Thesis, Institute of Statistics and Decision Sciences, Duke University, 2000.
    • J. Kern, Bayesian process-convolution approaches to specifying spatial dependence structure, Ph.D. Thesis, Institute of Statistics and Decision Sciences, Duke University, 2000.
  • 9
    • 0020275910 scopus 로고
    • An analytical method for uncertainty analysis of nonlinear output functions, with applications to fault-tree analysis
    • Cox D.C. An analytical method for uncertainty analysis of nonlinear output functions, with applications to fault-tree analysis. IEEE Trans. Reliab. 31 (1982) 265-268
    • (1982) IEEE Trans. Reliab. , vol.31 , pp. 265-268
    • Cox, D.C.1
  • 10
    • 2642573771 scopus 로고    scopus 로고
    • Probabilistic sensitivity analysis of complex models
    • Oakley J., and O'Hagan A. Probabilistic sensitivity analysis of complex models. J. Royal Stat. Soc. (Ser. B) 66 (2004) 751-769
    • (2004) J. Royal Stat. Soc. (Ser. B) , vol.66 , pp. 751-769
    • Oakley, J.1    O'Hagan, A.2
  • 11
    • 2942619617 scopus 로고    scopus 로고
    • Space and space-time modeling using process convolutions
    • Anderson C., Barnett V., Chatwin P.C., and El-Shaarawi A.H. (Eds), Springer Verlag, London
    • Higdon D. Space and space-time modeling using process convolutions. In: Anderson C., Barnett V., Chatwin P.C., and El-Shaarawi A.H. (Eds). Quantitative Methods for Current Environmental Issues (2002), Springer Verlag, London 37-56
    • (2002) Quantitative Methods for Current Environmental Issues , pp. 37-56
    • Higdon, D.1
  • 12
    • 77956890234 scopus 로고
    • Monte Carlo sampling methods using Markov chains and their applications
    • Hastings W.K. Monte Carlo sampling methods using Markov chains and their applications. Biometrika 57 (1970) 97-109
    • (1970) Biometrika , vol.57 , pp. 97-109
    • Hastings, W.K.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.