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Volumn 30, Issue 11, 2014, Pages

Learning about physical parameters: The importance of model discrepancy

Author keywords

calibration; computer models; extrapolation; model form error; simulation model; structural uncertainty; uncertainty quantification

Indexed keywords

CALIBRATION; EXTRAPOLATION; FORECASTING; PROBLEM SOLVING;

EID: 84908582437     PISSN: 02665611     EISSN: 13616420     Source Type: Journal    
DOI: 10.1088/0266-5611/30/11/114007     Document Type: Article
Times cited : (478)

References (29)
  • 2
    • 33746400084 scopus 로고    scopus 로고
    • Understanding the effects of model uncertainty in robust design with computer experiments
    • Apley D W, Liu J and Chen W 2006 Understanding the effects of model uncertainty in robust design with computer experiments J. Mech. Des. 128 945-58
    • (2006) J. Mech. Des. , vol.128 , pp. 945-958
    • Apley, D.W.1    Liu, J.2    Chen, W.3
  • 3
    • 48549099300 scopus 로고    scopus 로고
    • Bayesian calibration of mechanistic aquatic biogeochemical models and benefits for environmental management
    • Arhonditsis G B, Papantou D, Zhang W, Perhar G, Massos E and Shi M 2008 Bayesian calibration of mechanistic aquatic biogeochemical models and benefits for environmental management J. Marine Syst. 73 8-30
    • (2008) J. Marine Syst. , vol.73 , pp. 8-30
    • Arhonditsis, G.B.1    Papantou, D.2    Zhang, W.3    Perhar, G.4    Massos, E.5    Shi, M.6
  • 6
    • 0035426008 scopus 로고    scopus 로고
    • Equifinality, data assimilation, and uncertainty estimation in mechanistic modelling of complex environmental systems
    • Beven K J and Freer J 2001 Equifinality, data assimilation, and uncertainty estimation in mechanistic modelling of complex environmental systems J. Hydrology 249 11-29
    • (2001) J. Hydrology , vol.249 , pp. 11-29
    • Beven, K.J.1    Freer, J.2
  • 9
    • 84890908441 scopus 로고    scopus 로고
    • Gaussian process modeling with inequality constraints
    • Da Veiga S and Marrel A 2012 Gaussian process modeling with inequality constraints Ann. Fac. Sci. Toulouse 21 529-55
    • (2012) Ann. Fac. Sci. Toulouse , vol.21 , pp. 529-555
    • Da Veiga, S.1    Marrel, A.2
  • 10
    • 56949088109 scopus 로고    scopus 로고
    • Reified Bayesian modelling and inference for physical systems
    • Goldstein M and Rougier J 2009 Reified Bayesian modelling and inference for physical systems J. Statist. Planning Inference 139 1221-39
    • (2009) J. Statist. Planning Inference , vol.139 , pp. 1221-1239
    • Goldstein, M.1    Rougier, J.2
  • 11
    • 54949111733 scopus 로고    scopus 로고
    • Bayesian treed Gaussian process models with an application to computer modeling
    • Gramacy R B and Lee H K H 2008 Bayesian treed Gaussian process models with an application to computer modeling J. Am. Statist. Ass. 103 1119-30
    • (2008) J. Am. Statist. Ass. , vol.103 , pp. 1119-1130
    • Gramacy, R.B.1    Lee, H.K.H.2
  • 12
    • 35148863039 scopus 로고    scopus 로고
    • Cosmic calibration: Constraints from the matter power spectrum and the cosmic microwave background
    • D
    • Habib S, Heitmann K, Higdon D, Nakhleh C and Williams B 2007 Cosmic calibration: constraints from the matter power spectrum and the cosmic microwave background Phys. Rev. D 76 083503
    • (2007) Phys. Rev. , vol.76
    • Habib, S.1    Heitmann, K.2    Higdon, D.3    Nakhleh, C.4    Williams, B.5
  • 15
    • 0035648165 scopus 로고    scopus 로고
    • Bayesian calibration of computer models
    • B
    • Kennedy M C and O'Hagan A 2001 Bayesian calibration of computer models J. R. Statist. Soc. B 63 425-64
    • (2001) J. R. Statist. Soc. , vol.63 , pp. 425-464
    • Kennedy, M.C.1    O'Hagan, A.2
  • 16
    • 49549083044 scopus 로고    scopus 로고
    • Inference for a proton accelerator using convolution models
    • Lee H K H, Sansó B, Zhou W and Higdon D M 2008 Inference for a proton accelerator using convolution models J. Am. Statist. Ass. 103 602-13
    • (2008) J. Am. Statist. Ass. , vol.103 , pp. 602-613
    • Lee, H.K.H.1    Sansó, B.2    Zhou, W.3    Higdon, D.M.4
  • 18
    • 0002978835 scopus 로고
    • Curve fitting and optimal design for prediction
    • B
    • O'Hagan A 1978 Curve fitting and optimal design for prediction J. R. Statist. Soc. B 40 1-42
    • (1978) J. R. Statist. Soc. , vol.40 , pp. 1-42
    • O'Hagan, A.1
  • 20
    • 46749084250 scopus 로고    scopus 로고
    • Bayesian hierarchical modeling for integrating low-accuracy and high-accuracy experiments
    • Qian P Z G and Wu C F J 2008 Bayesian hierarchical modeling for integrating low-accuracy and high-accuracy experiments Technometrics 50 192-204
    • (2008) Technometrics , vol.50 , pp. 192-204
    • Qian, P.Z.G.1    Wu, C.F.J.2
  • 21
    • 72149112778 scopus 로고    scopus 로고
    • Analyzing input and structural uncertainty of nonlinear dynamic models with stochastic, time-dependent parameters
    • Reichert P and Mieleitner J 2009 Analyzing input and structural uncertainty of nonlinear dynamic models with stochastic, time-dependent parameters Water Resources Res. 45 W10402
    • (2009) Water Resources Res. , vol.45
    • Reichert, P.1    Mieleitner, J.2
  • 23
    • 0001153986 scopus 로고
    • Simulation of truncated normal variables
    • Robert C P 1995 Simulation of truncated normal variables Statist. Comput. 5 121-5
    • (1995) Statist. Comput. , vol.5 , pp. 121-125
    • Robert, C.P.1
  • 24
    • 33847615314 scopus 로고    scopus 로고
    • Probabilistic inference for future climate using an ensemble of climate model evaluations
    • Rougier J 2007 Probabilistic inference for future climate using an ensemble of climate model evaluations Climatic Change 81 247-64
    • (2007) Climatic Change , vol.81 , pp. 247-264
    • Rougier, J.1
  • 25
    • 68849121147 scopus 로고    scopus 로고
    • Statistical calibration of climate system properties
    • C
    • Sansó B and Forest C 2009 Statistical calibration of climate system properties J. R. Statist. Soc. C 58 485-503
    • (2009) J. R. Statist. Soc. , vol.58 , Issue.4 , pp. 485-503
    • Sansó, B.1    Forest, C.2
  • 27
    • 84855983460 scopus 로고    scopus 로고
    • Managing structural uncertainty in health economic decision models: A discrepancy approach
    • C
    • Strongk M, Oakley J E and Chilcott J 2012 Managing structural uncertainty in health economic decision models: a discrepancy approach J. R. Statist. Soc. C 61 25-45
    • (2012) J. R. Statist. Soc. , vol.61 , pp. 25-45
    • Strongk, M.1    Oakley, J.E.2    Chilcott, J.3
  • 28
    • 79954990290 scopus 로고    scopus 로고
    • Improved best estimate plus uncertainty methodology, including advanced validation concepts, to license evolving nuclear reactors
    • Unal C, Williams B, Hemez F, Atamturktur S H and McClure P 2011 Improved best estimate plus uncertainty methodology, including advanced validation concepts, to license evolving nuclear reactors Nucl. Eng. Des. 241 1813-33
    • (2011) Nucl. Eng. Des. , vol.241 , pp. 1813-1833
    • Unal, C.1    Williams, B.2    Hemez, F.3    Atamturktur, S.H.4    McClure, P.5
  • 29
    • 84908599586 scopus 로고    scopus 로고
    • Estimating shape constrained functions using Gaussian processes
    • Wang X and Berger J O 2011 Estimating shape constrained functions using Gaussian processes JSM Proc., Section on Nonparametric Statistics (Alexandria, VA: American Statistical Association) 5162-71
    • (2011) JSM Proc., Section on Nonparametric Statistics , pp. 5162-5171
    • Wang, X.1    Berger, J.O.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.