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Volumn 339, Issue 1-2, 2007, Pages 54-64

Gibbs sampling of climatic trends and periodicities

Author keywords

Bayesian methods; Climatic time series; Gibbs sampling; Markov Chain Monte Carlo; Periodicity; Trend

Indexed keywords

MONTE CARLO METHODS; NUMERICAL METHODS; RAIN; TIME SERIES ANALYSIS;

EID: 34248368068     PISSN: 00221694     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jhydrol.2007.03.006     Document Type: Article
Times cited : (15)

References (39)
  • 1
    • 0032874984 scopus 로고    scopus 로고
    • Bivariate extreme values distributions: an application of the Gibbs sample to the analysis of floods
    • Adamson P.T., Metcalfe A.V., and Parmentier B. Bivariate extreme values distributions: an application of the Gibbs sample to the analysis of floods. Water Resour. Res. 35 (1999) 2825-2832
    • (1999) Water Resour. Res. , vol.35 , pp. 2825-2832
    • Adamson, P.T.1    Metcalfe, A.V.2    Parmentier, B.3
  • 2
    • 0031284927 scopus 로고    scopus 로고
    • Time scales and trends in the Central England temperature data (1659-1990): A wavelet analysis
    • Baliunas S., Frick P., Sokoloff D., and Soon W. Time scales and trends in the Central England temperature data (1659-1990): A wavelet analysis. Geophy. Res. Lett. 24 11 (1997) 1351-1354
    • (1997) Geophy. Res. Lett. , vol.24 , Issue.11 , pp. 1351-1354
    • Baliunas, S.1    Frick, P.2    Sokoloff, D.3    Soon, W.4
  • 3
    • 0034989285 scopus 로고    scopus 로고
    • A Markov chain Monte Carlo scheme for parameters estimation and inference in conceptual rainfall-runoff modeling
    • Bates B.C., and Campbell E.P. A Markov chain Monte Carlo scheme for parameters estimation and inference in conceptual rainfall-runoff modeling. Water Resour. Res. 37 (2001) 937-947
    • (2001) Water Resour. Res. , vol.37 , pp. 937-947
    • Bates, B.C.1    Campbell, E.P.2
  • 4
    • 0000103562 scopus 로고
    • Spatial statistics and Bayesian computation
    • Besag J., and Green P.J. Spatial statistics and Bayesian computation. J. Roy. Statist. Soc. B 55 (1993) 25-37
    • (1993) J. Roy. Statist. Soc. B , vol.55 , pp. 25-37
    • Besag, J.1    Green, P.J.2
  • 6
    • 0346205399 scopus 로고    scopus 로고
    • Markov chain Monte Carlo method and its application
    • Brooks S.P. Markov chain Monte Carlo method and its application. The Statistician 47 (1998) 69-100
    • (1998) The Statistician , vol.47 , pp. 69-100
    • Brooks, S.P.1
  • 7
    • 0003428481 scopus 로고
    • Introduction to Random Signals and Applied Kalman Filtering
    • Wiley, New York
    • Brown R.G., and Hwang P.Y.C. Introduction to Random Signals and Applied Kalman Filtering. 2nd ed. (1992), Wiley, New York
    • (1992) 2nd ed.
    • Brown, R.G.1    Hwang, P.Y.C.2
  • 8
    • 84950445183 scopus 로고
    • Monte Carlo approach to nonnormal and nonlinear state - space
    • Carlin B.P., Polson N.G., and Stoffer D.S. Monte Carlo approach to nonnormal and nonlinear state - space. J. Am. Statist. Assoc. 87 (1992) 493-500
    • (1992) J. Am. Statist. Assoc. , vol.87 , pp. 493-500
    • Carlin, B.P.1    Polson, N.G.2    Stoffer, D.S.3
  • 9
    • 0000193853 scopus 로고
    • On Gibbs sampling for state space models
    • Carter C.K., and Kohn R. On Gibbs sampling for state space models. Biometrika 81 (1994) 541-553
    • (1994) Biometrika , vol.81 , pp. 541-553
    • Carter, C.K.1    Kohn, R.2
  • 10
    • 84937730674 scopus 로고
    • Explaining the Gibbs sampler
    • Casella G., and George E.I. Explaining the Gibbs sampler. Am. Statist. 46 (1992) 167-174
    • (1992) Am. Statist. , vol.46 , pp. 167-174
    • Casella, G.1    George, E.I.2
  • 11
    • 0001692662 scopus 로고
    • The Holt - Winters forecasting procedure
    • Chatfield C. The Holt - Winters forecasting procedure. Appl. Statist. 27 3 (1978) 264-275
    • (1978) Appl. Statist. , vol.27 , Issue.3 , pp. 264-275
    • Chatfield, C.1
  • 12
    • 32344446687 scopus 로고
    • Understanding the Metropolis-Hastings distribution
    • Chib S., and Greenberg E. Understanding the Metropolis-Hastings distribution. Am. Statist. 40 (1995) 327-335
    • (1995) Am. Statist. , vol.40 , pp. 327-335
    • Chib, S.1    Greenberg, E.2
  • 13
    • 31444431581 scopus 로고    scopus 로고
    • An efficient two-stage Markov chain Monte Carlo method for dynamic data integration
    • doi:10.1029/2004WR003764
    • Efendiev Y., Datta-Gupta A., Ginting V., Ma X., and Mallick B. An efficient two-stage Markov chain Monte Carlo method for dynamic data integration. Water Resour. Res. 41 (2005) W12423 doi:10.1029/2004WR003764
    • (2005) Water Resour. Res. , vol.41
    • Efendiev, Y.1    Datta-Gupta, A.2    Ginting, V.3    Ma, X.4    Mallick, B.5
  • 14
    • 84865262077 scopus 로고
    • Illustration of Bayesian inference in normal data models using Gibbs sampling
    • Gelfand A.E., Hills S.E., Racine-Poon A., and Smith A.F.M. Illustration of Bayesian inference in normal data models using Gibbs sampling. J. Am. Statist. Assoc. 85 (1990) 972-985
    • (1990) J. Am. Statist. Assoc. , vol.85 , pp. 972-985
    • Gelfand, A.E.1    Hills, S.E.2    Racine-Poon, A.3    Smith, A.F.M.4
  • 15
    • 0021518209 scopus 로고
    • Stochastic relaxation, Gibbs distributions and the Bayesian restoration of images
    • Geman S., and Geman D. Stochastic relaxation, Gibbs distributions and the Bayesian restoration of images. IEEE Trans. Pattern Anal. Med. Intell. 6 (1984) 721-741
    • (1984) IEEE Trans. Pattern Anal. Med. Intell. , vol.6 , pp. 721-741
    • Geman, S.1    Geman, D.2
  • 16
    • 84972511893 scopus 로고
    • Practical Markov chain Monte Carlo
    • Geyer C.J. Practical Markov chain Monte Carlo. Statist. Sci. 7 (1992) 473-511
    • (1992) Statist. Sci. , vol.7 , pp. 473-511
    • Geyer, C.J.1
  • 20
    • 0001154068 scopus 로고
    • The use of general circulation models to predict regional climatic change
    • Grotch S.L., and MacCracken M.C. The use of general circulation models to predict regional climatic change. J. Climate 4 3 (1991) 286-303
    • (1991) J. Climate , vol.4 , Issue.3 , pp. 286-303
    • Grotch, S.L.1    MacCracken, M.C.2
  • 21
    • 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
  • 22
    • 0024856006 scopus 로고
    • Use of time series analysis to detect climatic change
    • Kite G. Use of time series analysis to detect climatic change. J. Hydrol. 111 (1989) 259-279
    • (1989) J. Hydrol. , vol.111 , pp. 259-279
    • Kite, G.1
  • 23
    • 3242704058 scopus 로고    scopus 로고
    • Some considerations of periodicity and persistence in daily rainfalls
    • Kottegoda N.T., Natale L., and Raiteri E. Some considerations of periodicity and persistence in daily rainfalls. J. Hydrol. 296 (2004) 23-37
    • (2004) J. Hydrol. , vol.296 , pp. 23-37
    • Kottegoda, N.T.1    Natale, L.2    Raiteri, E.3
  • 24
    • 0032214428 scopus 로고    scopus 로고
    • Monte Carlo assessment of parameter uncertainty in conceptual catchment models: the Metropolis algorithm
    • Kuczera G., and Parent E. Monte Carlo assessment of parameter uncertainty in conceptual catchment models: the Metropolis algorithm. J. Hydrol. 211 (1998) 69-85
    • (1998) J. Hydrol. , vol.211 , pp. 69-85
    • Kuczera, G.1    Parent, E.2
  • 25
    • 0346025732 scopus 로고    scopus 로고
    • Analysing Italian voluntary abortion data using a Bayesian approach to the time series decomposition
    • Magni P., and Bellazzi R. Analysing Italian voluntary abortion data using a Bayesian approach to the time series decomposition. Statist. Med. 23 (2004) 105-123
    • (2004) Statist. Med. , vol.23 , pp. 105-123
    • Magni, P.1    Bellazzi, R.2
  • 26
    • 3042778584 scopus 로고    scopus 로고
    • On smoothing potentially non-stationary climate time series
    • 10.1029/2004GL019569
    • Mann M.E. On smoothing potentially non-stationary climate time series. Geophy. Res. Lett. 31 (2004) L07214 10.1029/2004GL019569
    • (2004) Geophy. Res. Lett. , vol.31
    • Mann, M.E.1
  • 28
    • 1642295818 scopus 로고    scopus 로고
    • A conceptual study of Markov chain Monte Carlo methods for conceptual rainfall - runoff modelling
    • 10.1029/2003WR002378
    • Marshall L., Nott D., and Sharma A. A conceptual study of Markov chain Monte Carlo methods for conceptual rainfall - runoff modelling. Water Resour. Res. 40 (2004) W02501 10.1029/2003WR002378
    • (2004) Water Resour. Res. , vol.40
    • Marshall, L.1    Nott, D.2    Sharma, A.3
  • 30
    • 0026358357 scopus 로고
    • Sensitivity of streamflow in the Colorado basin to climatic changes
    • Nash L.L., and Gleick P.H. Sensitivity of streamflow in the Colorado basin to climatic changes. J. Hydrol. 125 (1991) 221-241
    • (1991) J. Hydrol. , vol.125 , pp. 221-241
    • Nash, L.L.1    Gleick, P.H.2
  • 31
    • 4544379118 scopus 로고    scopus 로고
    • Gibbs sampling for conditional spatial disaggregation of rain fields
    • 10.1029/2003WR002029
    • Onibon H., Lebel T., Afouda A., and Guillot G. Gibbs sampling for conditional spatial disaggregation of rain fields. Water Resour. Res. 40 (2004) W08401 10.1029/2003WR002029
    • (2004) Water Resour. Res. , vol.40
    • Onibon, H.1    Lebel, T.2    Afouda, A.3    Guillot, G.4
  • 32
    • 26944484410 scopus 로고    scopus 로고
    • Bayesian MCMC flood frequency analysis with historical information
    • Reis Jr. D.S., and Stedinger J.R. Bayesian MCMC flood frequency analysis with historical information. J. Hydrol. 313 (2005) 97-116
    • (2005) J. Hydrol. , vol.313 , pp. 97-116
    • Reis Jr., D.S.1    Stedinger, J.R.2
  • 33
    • 0034739220 scopus 로고    scopus 로고
    • Bayesian change-point analysis in hydrometeorological time series, Part 1. The normal model revisited
    • Perreault L., Bernier J., Bobée B., and Parent E. Bayesian change-point analysis in hydrometeorological time series, Part 1. The normal model revisited. J. Hydrol. 235 (2000) 221-241
    • (2000) J. Hydrol. , vol.235 , pp. 221-241
    • Perreault, L.1    Bernier, J.2    Bobée, B.3    Parent, E.4
  • 34
    • 0033054050 scopus 로고    scopus 로고
    • A stochastic model for tropical rainfall at a single location
    • Sansò B., and Guenni L. A stochastic model for tropical rainfall at a single location. J. Hydrol. 214 (1999) 64-73
    • (1999) J. Hydrol. , vol.214 , pp. 64-73
    • Sansò, B.1    Guenni, L.2
  • 35
    • 0003053548 scopus 로고
    • Bayesian computation via the Gibbs and related Markov chain Monte Carlo methods
    • Smith A.F.M., and Roberts G.O. Bayesian computation via the Gibbs and related Markov chain Monte Carlo methods. J. Roy. Statist. Soc. B 55 (1993) 3-23
    • (1993) J. Roy. Statist. Soc. B , vol.55 , pp. 3-23
    • Smith, A.F.M.1    Roberts, G.O.2
  • 36
    • 0345768751 scopus 로고    scopus 로고
    • Reconstructing climatic and environmental changes of the past 1000 years: A reappraisal
    • Soon W., Baliunas S., Idso C., Idso S., and Legates D.R. Reconstructing climatic and environmental changes of the past 1000 years: A reappraisal. Energy Environ. 14 (2003) 233-296
    • (2003) Energy Environ. , vol.14 , pp. 233-296
    • Soon, W.1    Baliunas, S.2    Idso, C.3    Idso, S.4    Legates, D.R.5
  • 37
    • 0000576595 scopus 로고
    • Markov chains for exploring posterior distributions
    • Tierney L. Markov chains for exploring posterior distributions. Ann. Statist. 22 (1994) 1701-1762
    • (1994) Ann. Statist. , vol.22 , pp. 1701-1762
    • Tierney, L.1
  • 38
    • 0003751465 scopus 로고    scopus 로고
    • Bayesian Forecasting and Dynamic Models
    • Springer, New York
    • West M., and Harrison J. Bayesian Forecasting and Dynamic Models. second ed. (1997), Springer, New York
    • (1997) second ed.
    • West, M.1    Harrison, J.2
  • 39
    • 0033596115 scopus 로고    scopus 로고
    • A comparison of downscaled and raw GCM output: implications for climatic change scenarios in the San Juan River basin, Colorado
    • Wilby R.L., Hay L.E., and Leavesley G.H. A comparison of downscaled and raw GCM output: implications for climatic change scenarios in the San Juan River basin, Colorado. J. Hydrol. 225 (1999) 67-93
    • (1999) J. Hydrol. , vol.225 , pp. 67-93
    • Wilby, R.L.1    Hay, L.E.2    Leavesley, G.H.3


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