메뉴 건너뛰기




Volumn 48, Issue 12, 2012, Pages

Generalized likelihood uncertainty estimation (GLUE) and approximate Bayesian computation: What's the connection?

Author keywords

[No Author keywords available]

Indexed keywords

ABC ALGORITHMS; APPROXIMATE BAYESIAN; BAYES PROCEDURE; GENERALIZED LIKELIHOOD UNCERTAINTY ESTIMATION; GLUE APPLICATION; HYDROLOGIC APPLICATIONS; HYDROLOGICAL MODELING; KERNEL FUNCTION; PROBABILISTIC APPROACHES; UNCERTAINTY ASSESSMENT;

EID: 84871579209     PISSN: 00431397     EISSN: 19447973     Source Type: Journal    
DOI: 10.1029/2011WR011128     Document Type: Article
Times cited : (58)

References (35)
  • 2
    • 33644526990 scopus 로고    scopus 로고
    • A manifesto for the equifinality thesis
    • Beven, K. J. (2006), A manifesto for the equifinality thesis, J. Hydrol., 320, 18-36.
    • (2006) J. Hydrol , vol.320 , pp. 18-36
    • Beven, K.J.1
  • 3
    • 70349748684 scopus 로고    scopus 로고
    • Comment on "equifinality of formal (DREAM) and informal (GLUE) Bayesian approaches in hydrologic modeling?
    • Jasper A. Vrugt, Cajo J. F. ter Braak, Hoshin V. Gupta and Bruce A. Robinson
    • Beven, K. J. (2009), Comment on "Equifinality of formal (DREAM) and informal (GLUE) Bayesian approaches in hydrologic modeling?" by Jasper A. Vrugt, Cajo J. F. ter Braak, Hoshin V. Gupta and Bruce A. Robinson, Stoch. Environ. Res. Risk Assess., 23, 1059-1060.
    • (2009) Stoch. Environ. Res. Risk Assess , vol.23 , pp. 1059-1060
    • Beven, K.J.1
  • 4
    • 0027009437 scopus 로고
    • The future of distributed models: Model calibration and uncertainty prediction
    • Beven, K. J., and A. M. Binley (1992), The future of distributed models: Model calibration and uncertainty prediction, Hydrol. Process., 6, 279-298.
    • (1992) Hydrol. Process , vol.6 , pp. 279-298
    • Beven, K.J.1    Binley, A.M.2
  • 5
    • 79955547332 scopus 로고    scopus 로고
    • On red herrings and real herrings: Disinformation and information in hydrological inference
    • Beven, K. J., and I. Westerberg (2011), On red herrings and real herrings: Disinformation and information in hydrological inference, Hydrol. Process., 25(10), 1676-1680.
    • (2011) Hydrol. Process , vol.25 , Issue.10 , pp. 1676-1680
    • Beven, K.J.1    Westerberg, I.2
  • 6
    • 43449131518 scopus 로고    scopus 로고
    • So just why would a modeller choose to be incoherent?
    • Beven, K. J., P. J. Smith, and J. E. Freer (2008), So just why would a modeller choose to be incoherent?, J. Hydrol., 354, 15-32.
    • (2008) J. Hydrol , vol.354 , pp. 15-32
    • Beven, K.J.1    Smith, P.J.2    Freer, J.E.3
  • 7
    • 40849146963 scopus 로고    scopus 로고
    • Generalized likelihood uncertainty estimation (GLUE) using adaptive Markov Chain Monte Carlo sampling
    • Blasone, R.-S., J. A. Vrugt, H. Madsen, D. Rosbjerg, M. A. Robinson, and G. A. Zyvoloski (2008), Generalized likelihood uncertainty estimation (GLUE) using adaptive Markov Chain Monte Carlo sampling, Adv. Water Res., 31, 630-648.
    • (2008) Adv. Water Res , vol.31 , pp. 630-648
    • Blasone, R.-S.1    Vrugt, J.A.2    Madsen, H.3    Rosbjerg, D.4    Robinson, M.A.5    Zyvoloski, G.A.6
  • 8
    • 72149085715 scopus 로고    scopus 로고
    • A limits of acceptability approach to model evaluation and uncertainty estimation in flood frequency estimation by continuous simulation: Skalka catchment, Czech Republic
    • doi:10.1029/2007WR006726
    • Blazkova, S., and K. Beven (2009), A limits of acceptability approach to model evaluation and uncertainty estimation in flood frequency estimation by continuous simulation: Skalka catchment, Czech Republic, Water Resour. Res., 45, W00B16, doi:10.1029/2007WR006726.
    • (2009) Water Resour. Res , vol.45
    • Blazkova, S.1    Beven, K.2
  • 9
    • 84869041846 scopus 로고    scopus 로고
    • A comparative review of dimension reduction methods in approximate Bayesian computation
    • in press
    • Blum, M. G., M. A. Nunes, D. Prangle, and S. A. Sisson (2012), A comparative review of dimension reduction methods in approximate Bayesian computation, Stat. Sci., in press.
    • (2012) Stat. Sci
    • Blum, M.G.1    Nunes, M.A.2    Prangle, D.3    Sisson, S.A.4
  • 10
    • 0001197731 scopus 로고
    • Monte Carlo methods of inference for implicit statistical models
    • Diggle, P. J., and R. J. Gratton (1984), Monte Carlo methods of inference for implicit statistical models, J. R. Stat. Soc. Ser. B, 46, 193-227.
    • (1984) J. R. Stat. Soc. Ser. B , vol.46 , pp. 193-227
    • Diggle, P.J.1    Gratton, R.J.2
  • 13
    • 67649845805 scopus 로고    scopus 로고
    • Hydrologic connectivity between landscapes and streams: Transferring reach and plot scale understanding to the catchment scale
    • doi:10.1029/2008WR007225
    • Jencso, K. G., B. L. McGlynn, M. N. Gooseff, S. M. Wondzell, K. E. Ben-cala, and L. A. Marshall (2009), Hydrologic connectivity between landscapes and streams: Transferring reach and plot scale understanding to the catchment scale, Water Resour. Res., 45, W04428, doi:10.1029/2008WR007225.
    • (2009) Water Resour. Res , vol.45
    • Jencso, K.G.1    McGlynn, B.L.2    Gooseff, M.N.3    Wondzell, S.M.4    Ben-Cala, K.E.5    Marshall, L.A.6
  • 14
    • 82955173799 scopus 로고    scopus 로고
    • Hierarchical controls on runoff generation: Topographically driven hydrologic connectivity, geology, and vegetation
    • doi:10.1029/2011WR010666
    • Jencso, K. G., and B. L. McGlynn (2011), Hierarchical controls on runoff generation: Topographically driven hydrologic connectivity, geology, and vegetation, Water Resour. Res., 47, W11527, doi:10.1029/2011WR010666.
    • (2011) Water Resour. Res , vol.47
    • Jencso, K.G.1    McGlynn, B.L.2
  • 15
    • 33646510313 scopus 로고    scopus 로고
    • Bayesian analysis of input uncertainty in hydrological modeling 1
    • doi:10.1029/2005WR004368
    • Kavetski, D., G. Kuczera, and S. W. Franks (2006a), Bayesian analysis of input uncertainty in hydrological modeling: 1. Theory, Water Resour. Res., 42, W03407, doi:10.1029/2005WR004368.
    • (2006) Theory, Water Resour. Res , vol.42
    • Kavetski, D.1    Kuczera, G.2    Franks, S.W.3
  • 16
    • 33646510313 scopus 로고    scopus 로고
    • Bayesian analysis of input uncertainty in hydrological modeling 2. Application
    • doi:10.1029/2005WR004376
    • Kavetski, D., G. Kuczera, and S. W. Franks (2006b), Bayesian analysis of input uncertainty in hydrological modeling: 2. Application, Water Resour. Res., 42, W03408, doi:10.1029/2005WR004376.
    • (2006) Water Resour. Res , vol.42
    • Kavetski, D.1    Kuczera, G.2    Franks, S.W.3
  • 17
    • 60849131264 scopus 로고    scopus 로고
    • Towards a limits of acceptability approach to the calibration of hydrological models: Extending observation error
    • Liu, Y., J. Freer, K. Beven, and P. Matgen (2009), Towards a limits of acceptability approach to the calibration of hydrological models: Extending observation error, J. Hydrol., 367, 93-103.
    • (2009) J. Hydrol , vol.367 , pp. 93-103
    • Liu, Y.1    Freer, J.2    Beven, K.3    Matgen, P.4
  • 18
    • 33748808177 scopus 로고    scopus 로고
    • Hydrological forecasting uncertainty assessment: Incoherence of the GLUE methodology
    • DOI 10.1016/j.jhydrol.2006.04.046, PII S0022169406002162, Hydro-Ecological Functioning of the Pang and Lambourn Catchments, UK Results from the Lowland Catchment Research (LOCAR) Initiative
    • Mantovan, P., and E. Todini (2006), Hydrological forecasting uncertainty assessment: Incoherence of the GLUE methodology, J. Hydrol., 330, 368-381. (Pubitemid 44528546)
    • (2006) Journal of Hydrology , vol.330 , Issue.1-2 , pp. 368-381
    • Mantovan, P.1    Todini, E.2
  • 19
    • 84861108073 scopus 로고    scopus 로고
    • Approximate Bayesian computational methods
    • doi:10.1007/s11222-011-9288-2
    • Marin, J.-M., P. Pudlo, C. P. Robert, and R. Ryder (2011), Approximate Bayesian computational methods, Stat. Comput., 22(6), 1167-1180, doi:10.1007/s11222-011-9288-2.
    • (2011) Stat. Comput. , vol.22 , Issue.6 , pp. 1167-1180
    • Marin, J.-M.1    Pudlo, P.2    Robert, C.P.3    Ryder, R.4
  • 21
    • 67649865631 scopus 로고    scopus 로고
    • Rainfall-runoff model calibration using informal likelihood measures within a Markov chain Monte Carlo sampling scheme
    • doi:10.1029/2008WR 007288
    • McMillan, H., and M. Clark (2009), Rainfall-runoff model calibration using informal likelihood measures within a Markov chain Monte Carlo sampling scheme, Water Resour. Res., 45, W04418, doi:10.1029/2008WR 007288.
    • (2009) Water Resour. Res , vol.45
    • McMillan, H.1    Clark, M.2
  • 22
    • 33846362488 scopus 로고    scopus 로고
    • The PDM rainfall runoff model
    • doi:10.5194/hess-11-483-2007
    • Moore, R. J. (2007), The PDM rainfall runoff model, Hydrol. Earth Syst. Sci., 11, 483-499, doi:10.5194/hess-11-483-2007.
    • (2007) Hydrol. Earth Syst. Sci , vol.11 , pp. 483-499
    • Moore, R.J.1
  • 23
    • 84055182931 scopus 로고    scopus 로고
    • Landscape structure and climate influences on hydrologic response
    • doi:10.1029/2011WR011161
    • Nippgen, F., B. L. McGlynn, L. A. Marshall, and R. E. Emanuel (2011), Landscape structure and climate influences on hydrologic response, Water Resour. Res., 47, W12528, doi:10.1029/2011WR011161.
    • (2011) Water Resour. Res , vol.47
    • Nippgen, F.1    McGlynn, B.L.2    Marshall, L.A.3    Emanuel, R.E.4
  • 24
    • 84942596669 scopus 로고    scopus 로고
    • Approximate Bayes-ian computation and Bayes linear analysis: Towards high-dimensional ABC
    • in press
    • Nott, D. J., Y. Fan, L. Marshall, and S. A. Sisson (2012), Approximate Bayes-ian computation and Bayes linear analysis: Towards high-dimensional ABC, J. Comp. Graph. Stat., in press.
    • (2012) J. Comp. Graph. Stat
    • Nott, D.J.1    Fan, Y.2    Marshall, L.3    Sisson, S.A.4
  • 26
    • 70349731728 scopus 로고    scopus 로고
    • Sequential Monte Carlo without likelihoods: Errata
    • Sisson, S. A., Y. Fan, and M. Tanaka (2009), Sequential Monte Carlo without likelihoods: Errata, Proc. Natl. Acad. Sci. U. S. A., 106, p. 16889.
    • (2009) Proc. Natl. Acad. Sci. U. S. A , vol.106 , pp. 16889
    • Sisson, S.A.1    Fan, Y.2    Tanaka, M.3
  • 27
    • 76749111524 scopus 로고    scopus 로고
    • Exploring uncertainty and model predictive performance concepts via a modular snowmelt-runoff modelling framework
    • Smith, T. J., and L. A. Marshall (2010), Exploring uncertainty and model predictive performance concepts via a modular snowmelt-runoff modelling framework, Environ. Modell. Software, 25(6), 691-701.
    • (2010) Environ. Modell. Software , vol.25 , Issue.6 , pp. 691-701
    • Smith, T.J.1    Marshall, L.A.2
  • 28
    • 46849086011 scopus 로고    scopus 로고
    • Informal likelihood measures in model assessment: Theoretic development and investigation
    • Smith, P. J., K. J. Beven, and J. Tawn (2008), Informal likelihood measures in model assessment: Theoretic development and investigation, Adv. Water Res., 31, 1087-1100.
    • (2008) Adv. Water Res , vol.31 , pp. 1087-1100
    • Smith, P.J.1    Beven, K.J.2    Tawn, J.3
  • 29
    • 69949188688 scopus 로고    scopus 로고
    • Appraisal of the generalized likelihood uncertainty estimation (GLUE) method
    • doi:10.1029/2008WR006822
    • Stedinger, J. R., R. M. Vogel, R. Batchelder, and S. U. Lee (2008), Appraisal of the generalized likelihood uncertainty estimation (GLUE) method, Water Resour. Res., 44, W00B06, doi:10.1029/2008WR006822.
    • (2008) Water Resour. Res , vol.44
    • Stedinger, J.R.1    Vogel, R.M.2    Batchelder, R.3    Lee, S.U.4
  • 30
    • 0031014291 scopus 로고    scopus 로고
    • Inferring coalescence times from DNA sequence data
    • Tavaré, S., D. J. Balding, R. C. Griffiths, and P. Donnelly (1997), Inferring coalescence times from DNA sequence data, Genetics, 145, 505-518. (Pubitemid 27068401)
    • (1997) Genetics , vol.145 , Issue.2 , pp. 505-518
    • Tavare, S.1    Balding, D.J.2    Griffiths, R.C.3    Donnelly, P.4
  • 31
    • 57049099445 scopus 로고    scopus 로고
    • Treatment of input uncertainty in hydrologic modeling: Doing hydrology backward with Markov chain Monte Carlo simulation
    • doi:10.1029/2007WR006720
    • Vrugt, J. A., C. J. F. ter Braak, M. P. J. M. Clark Hyman, and B. A. Robinson (2008), Treatment of input uncertainty in hydrologic modeling: Doing hydrology backward with Markov chain Monte Carlo simulation, Water Resour. Res., 44, W00B09, doi:10.1029/2007WR006720.
    • (2008) Water Resour. Res , vol.44
    • Vrugt, J.A.1    Ter Braak, C.J.F.2    Clark Hyman, M.P.J.M.3    Robinson, B.A.4
  • 32
    • 70349739462 scopus 로고    scopus 로고
    • Equifinality of formal (DREAM) and informal (GLUE) Bayesian approaches in hydrologic modeling?
    • Vrugt, J. A., C. J. F. ter Braak, H. V. Gupta, and B. A. Robinson (2009a), Equifinality of formal (DREAM) and informal (GLUE) Bayesian approaches in hydrologic modeling?, Stoch. Environ. Res. Risk Assess., 23, 1011-1026.
    • (2009) Stoch. Environ. Res. Risk Assess , vol.23 , pp. 1011-1026
    • Vrugt, J.A.1    Ter Braak, C.J.F.2    Gupta, H.V.3    Robinson, B.A.4
  • 33
    • 65349141143 scopus 로고    scopus 로고
    • Accelerating Markov chain Monte Carlo simulation by differential evolution with self-adaptive randomized subspace sampling
    • Vrugt, J. A., C. J. F. ter Braak, C. G. H. Diks, B. A. Robinson, J. M. Hyman, and D. Higdon (2009b), Accelerating Markov chain Monte Carlo simulation by differential evolution with self-adaptive randomized subspace sampling, Int. J. Nonlin. Sci. Numer. Simul., 10, 273-290.
    • (2009) Int. J. Nonlin. Sci. Numer. Simul , vol.10 , pp. 273-290
    • Vrugt, J.A.1    Ter Braak, C.J.F.2    Diks, C.G.H.3    Robinson, B.A.4    Hyman, J.M.5    Higdon, D.6
  • 34
    • 79958786812 scopus 로고    scopus 로고
    • Convergence of approaches toward reducing uncertainty in predictions in ungauged basins
    • doi:10.1029/2010WR009469
    • Wagener, T., and A. Montanari (2011), Convergence of approaches toward reducing uncertainty in predictions in ungauged basins, Water Resour. Res., 47, W06301, doi:10.1029/2010WR009469.
    • (2011) Water Resour. Res , vol.47
    • Wagener, T.1    Montanari, A.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.