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Volumn 14, Issue 1, 2012, Pages 29-47

Bayesian dynamic modeling for large space-time datasets using Gaussian predictive processes

Author keywords

Bayesian inference; Dynamic models; Predictive process; Spatial processes

Indexed keywords

BAYESIAN ANALYSIS; DATA SET; NUMERICAL MODEL; PREDICTION; SPATIOTEMPORAL ANALYSIS;

EID: 84855227826     PISSN: 14355930     EISSN: 14355949     Source Type: Journal    
DOI: 10.1007/s10109-011-0154-8     Document Type: Article
Times cited : (50)

References (33)
  • 2
    • 47649103974 scopus 로고    scopus 로고
    • Gaussian predictive process models for large spatial datasets
    • Banerjee S, Gelfand AE, Finley AO, Sang H (2008) Gaussian predictive process models for large spatial datasets. J R Stat Soc Ser B 70(4): 825-848.
    • (2008) J R Stat Soc Ser B , vol.70 , Issue.4 , pp. 825-848
    • Banerjee, S.1    Gelfand, A.E.2    Finley, A.O.3    Sang, H.4
  • 5
    • 42349084895 scopus 로고    scopus 로고
    • Bivariate binomial spatial modeling of Loa loa Prevalence in tropical Africa (with discussion)
    • Crainiceanu CM, Diggle PJ, Rowlingson B (2008) Bivariate binomial spatial modeling of Loa loa Prevalence in tropical Africa (with discussion). J Am Stat Assoc 103(481): 21-37.
    • (2008) J Am Stat Assoc , vol.103 , Issue.481 , pp. 21-37
    • Crainiceanu, C.M.1    Diggle, P.J.2    Rowlingson, B.3
  • 7
    • 37849041594 scopus 로고    scopus 로고
    • Fixed rank kriging for very large spatial data sets
    • Cressie NAC, Johannesson G (2008) Fixed rank kriging for very large spatial data sets. J R Stat Soc Ser B 70(1): 209-226.
    • (2008) J R Stat Soc Ser B , vol.70 , Issue.1 , pp. 209-226
    • Cressie, N.A.C.1    Johannesson, G.2
  • 8
    • 70049089877 scopus 로고    scopus 로고
    • Fixed-domain asymptotic properties of tapered maximum likelihood estimators
    • Du J, Zhang H, Mandrekarm VS (2009) Fixed-domain asymptotic properties of tapered maximum likelihood estimators. Ann Stat 37(6A): 3330-3361.
    • (2009) Ann Stat , vol.37 , Issue.6 A , pp. 3330-3361
    • Du, J.1    Zhang, H.2    Mandrekarm, V.S.3
  • 9
    • 62849106305 scopus 로고    scopus 로고
    • Improving the performance of predictive process modeling for large datasets
    • Finley AO, Sang H, Banerjee S, Gelfand AE (2009) Improving the performance of predictive process modeling for large datasets. Comput Stat Data Anal 53(8): 2873-2884.
    • (2009) Comput Stat Data Anal , vol.53 , Issue.8 , pp. 2873-2884
    • Finley, A.O.1    Sang, H.2    Banerjee, S.3    Gelfand, A.E.4
  • 10
    • 33947194951 scopus 로고    scopus 로고
    • Approximate likelihood for large irregularly spaced spatial data
    • Fuentes M (2007) Approximate likelihood for large irregularly spaced spatial data. J Am Stat Assoc 102(477): 321-331.
    • (2007) J Am Stat Assoc , vol.102 , Issue.477 , pp. 321-331
    • Fuentes, M.1
  • 11
    • 33750007327 scopus 로고    scopus 로고
    • Covariance tapering for interpolation of large spatial datasets
    • Furrer R, Genton MG, Nychka D (2006) Covariance tapering for interpolation of large spatial datasets. J Comput Graph Stat 15(3): 502-523.
    • (2006) J Comput Graph Stat , vol.15 , Issue.3 , pp. 502-523
    • Furrer, R.1    Genton, M.G.2    Nychka, D.3
  • 12
    • 20744444147 scopus 로고    scopus 로고
    • Univariate and multivariate dynamic spatial modelling
    • Gelfand AE, Banerjee S, Gamerman D (2005) Univariate and multivariate dynamic spatial modelling. Environmetrics 16(5): 465-479.
    • (2005) Environmetrics , vol.16 , Issue.5 , pp. 465-479
    • Gelfand, A.E.1    Banerjee, S.2    Gamerman, D.3
  • 13
    • 0002799511 scopus 로고    scopus 로고
    • Model Choice: a minimum posterior predictive loss approach
    • Gelfand AE, Ghosh SK (1998) Model Choice: a minimum posterior predictive loss approach. Biometrika 85(1): 1-11.
    • (1998) Biometrika , vol.85 , Issue.1 , pp. 1-11
    • Gelfand, A.E.1    Ghosh, S.K.2
  • 14
    • 84972492387 scopus 로고
    • Inference from iterative simulation using multiple sequences
    • Gelman A, Rubin D (1992) Inference from iterative simulation using multiple sequences. Stat Sci 7(4): 457-511.
    • (1992) Stat Sci , vol.7 , Issue.4 , pp. 457-511
    • Gelman, A.1    Rubin, D.2
  • 17
    • 0001138328 scopus 로고
    • A K-means clustering algorithm
    • Hartigan JA, Wong MA (1979) A K-means clustering algorithm. Appl Stat 28(1): 100-108.
    • (1979) Appl Stat , vol.28 , Issue.1 , pp. 100-108
    • Hartigan, J.A.1    Wong, M.A.2
  • 18
    • 2942619617 scopus 로고    scopus 로고
    • Space and space-time modeling using process convolutions
    • C. Anderson, C. Barnett, P. C. Chatwin, and A. H. El-Shaarawi (Eds.), Berlin: Springer
    • Higdon D Space and space-time modeling using process convolutions. In: Anderson C, Barnett C, Chatwin PC, El-Shaarawi AH (eds) Quantitative methods for current environmental issues. pp 37-56 Springer, Berlin, (2002).
    • (2002) Quantitative Methods for Current Environmental Issues , pp. 37-56
    • Higdon, D.1
  • 20
    • 70049091991 scopus 로고    scopus 로고
    • Covariance tapering for likelihood-based estimation in large spatial data sets
    • Kaufman CG, Schervish MJ, Nychka DW (2008) Covariance tapering for likelihood-based estimation in large spatial data sets. J Am Stat Assoc 103(484): 1545-1555.
    • (2008) J Am Stat Assoc , vol.103 , Issue.484 , pp. 1545-1555
    • Kaufman, C.G.1    Schervish, M.J.2    Nychka, D.W.3
  • 22
    • 68949146774 scopus 로고    scopus 로고
    • A sampling approach to estimating the log determinant used in spatial likelihood problems
    • Pace RK, LeSage JP (2009) A sampling approach to estimating the log determinant used in spatial likelihood problems. J Geograph Syst 11(3): 209-225.
    • (2009) J Geograph Syst , vol.11 , Issue.3 , pp. 209-225
    • Pace, R.K.1    Lesage, J.P.2
  • 25
    • 70350345571 scopus 로고    scopus 로고
    • Bayesian modeling of uncertainty in ensembles of climate models
    • Smith R, Tebaldi C, Nychka D, Mearns L (2009) Bayesian modeling of uncertainty in ensembles of climate models. J Am Stat Assoc 104(485): 97-116.
    • (2009) J Am Stat Assoc , vol.104 , Issue.485 , pp. 97-116
    • Smith, R.1    Tebaldi, C.2    Nychka, D.3    Mearns, L.4
  • 26
    • 2442600120 scopus 로고    scopus 로고
    • Approximating likelihoods for large spatial datasets
    • Stein ML, Chi Z, Welty LJ (2004) Approximating likelihoods for large spatial datasets. J R Stat Soc Ser B 66(2): 275-296.
    • (2004) J R Stat Soc Ser B , vol.66 , Issue.2 , pp. 275-296
    • Stein, M.L.1    Chi, Z.2    Welty, L.J.3
  • 27
    • 41249085244 scopus 로고    scopus 로고
    • Spatial variation of total column ozone on a global scale
    • Stein ML (2007) Spatial variation of total column ozone on a global scale. Ann Appl Stat 1(1): 191-210.
    • (2007) Ann Appl Stat , vol.1 , Issue.1 , pp. 191-210
    • Stein, M.L.1
  • 28
    • 37849010186 scopus 로고    scopus 로고
    • A modeling approach for large spatial datasets
    • Stein ML (2008) A modeling approach for large spatial datasets. J Korean Stat Soc 37(1): 3-10.
    • (2008) J Korean Stat Soc , vol.37 , Issue.1 , pp. 3-10
    • Stein, M.L.1
  • 29
    • 0035650158 scopus 로고    scopus 로고
    • Dynamic models for spatiotemporal data
    • Stroud JR, Muller P, Sansó B (2001) Dynamic models for spatiotemporal data. J R Stat Soc Ser B 63(4): 673-689.
    • (2001) J R Stat Soc Ser B , vol.63 , Issue.4 , pp. 673-689
    • Stroud, J.R.1    Muller, P.2    Sansó, B.3
  • 30
    • 57849156930 scopus 로고    scopus 로고
    • Joint projections of temperature and precipitation change from multiple climate models: a hierarchical Bayes approach
    • Tebaldi C, Sansó B (2008) Joint projections of temperature and precipitation change from multiple climate models: a hierarchical Bayes approach. J R Stat Soc A 172(1): 83-106.
    • (2008) J R Stat Soc A , vol.172 , Issue.1 , pp. 83-106
    • Tebaldi, C.1    Sansó, B.2
  • 31
    • 0003751469 scopus 로고    scopus 로고
    • Tech report, Rapporto di riceria 5/1997, Dipartimento di Statistica - Universita CaFoscari di Venezia, Venice Italy
    • Tonellato S (1997) Bayesian dynamic linear models for spatial time series. Tech report, Rapporto di riceria 5/1997, Dipartimento di Statistica - Universita CaFoscari di Venezia, Venice Italy.
    • (1997) Bayesian dynamic linear models for spatial time series
    • Tonellato, S.1
  • 32
    • 0000497615 scopus 로고
    • Estimation and model identification for continuous spatial processes
    • Vecchia AV (1988) Estimation and model identification for continuous spatial processes. J R Stat Soc Ser B 50(2): 297-312.
    • (1988) J R Stat Soc Ser B , vol.50 , Issue.2 , pp. 297-312
    • Vecchia, A.V.1


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