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Volumn 9, Issue 1-2, 2012, Pages 275-284

Conditionally linear models for non-homogeneous spatial random fields

Author keywords

Bayesian inference; Spatial interpolation; Spatial random fields

Indexed keywords


EID: 81255134393     PISSN: 15723127     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.stamet.2011.02.001     Document Type: Article
Times cited : (8)

References (35)
  • 4
    • 70350326371 scopus 로고    scopus 로고
    • Geostatistics without stationarity assumptions within geographical information systems alexander brenning
    • Brenning A. Geostatistics without stationarity assumptions within geographical information systems alexander brenning. Freiberg Online Geoscience 2001, 6.
    • (2001) Freiberg Online Geoscience , vol.6
    • Brenning, A.1
  • 5
    • 84989444320 scopus 로고
    • Multivariate spatial interpolation and exposure to air pollutants
    • Brown P.J., Le N.D., Zidek J.V. Multivariate spatial interpolation and exposure to air pollutants. Canadian Journal of Statistics 1995, 22:489-509.
    • (1995) Canadian Journal of Statistics , vol.22 , pp. 489-509
    • Brown, P.J.1    Le, N.D.2    Zidek, J.V.3
  • 9
    • 0035095797 scopus 로고    scopus 로고
    • Bayesian estimation of semi-parametric non-stationary spatial covariance structure
    • Damian D., Sampson P.D., Guttorp P. Bayesian estimation of semi-parametric non-stationary spatial covariance structure. Environmetrics 2001, 12:161-176.
    • (2001) Environmetrics , vol.12 , pp. 161-176
    • Damian, D.1    Sampson, P.D.2    Guttorp, P.3
  • 10
    • 0007633083 scopus 로고
    • Geostatistical estimates of scallop abundance
    • John Wiley & Sons, Inc. N. Lange, L. Ryan, L. Billard, D. Brillinger, L. Conquest, J. Greenhouse (Eds.)
    • Ecker M., Heltshe J. Geostatistical estimates of scallop abundance. Case Studies in Biometry 1994, 125-144. John Wiley & Sons, Inc. N. Lange, L. Ryan, L. Billard, D. Brillinger, L. Conquest, J. Greenhouse (Eds.).
    • (1994) Case Studies in Biometry , pp. 125-144
    • Ecker, M.1    Heltshe, J.2
  • 11
    • 66949113658 scopus 로고    scopus 로고
    • Hierarchical spatial modeling of additive and dominance genetic variance for large spatial trial datasets
    • Finley A., Banerjee S., Waldman P., Ericsson T. Hierarchical spatial modeling of additive and dominance genetic variance for large spatial trial datasets. Biometrics 2009, 65:441-451. 10.1111/j.1541-0420.2008.01115.x.
    • (2009) Biometrics , vol.65 , pp. 441-451
    • Finley, A.1    Banerjee, S.2    Waldman, P.3    Ericsson, T.4
  • 12
    • 0042401905 scopus 로고    scopus 로고
    • Periodogram and other spectral methods for nonstationary spatial processes
    • Fuentes M. Periodogram and other spectral methods for nonstationary spatial processes. Biometrika 2002, 89:197-210.
    • (2002) Biometrika , vol.89 , pp. 197-210
    • Fuentes, M.1
  • 13
    • 33947194951 scopus 로고    scopus 로고
    • Approximate likelihood for large irregularly spaced spatial data
    • Fuentes M. Approximate likelihood for large irregularly spaced spatial data. Journal of the American Statistical Association 2007, 102:321-331.
    • (2007) Journal of the American Statistical Association , vol.102 , pp. 321-331
    • Fuentes, M.1
  • 14
    • 79953803804 scopus 로고    scopus 로고
    • Chapman and Hall, Boca Raton, USA, A. Gelfand, P. Diggle, M. Fuentes, P. Guttorp (Eds.)
    • Handbook of Spatial Statistics 2010, Chapman and Hall, Boca Raton, USA. A. Gelfand, P. Diggle, M. Fuentes, P. Guttorp (Eds.).
    • (2010) Handbook of Spatial Statistics
  • 15
    • 0036858503 scopus 로고    scopus 로고
    • Compactly supported correlation functions
    • Gneiting T. Compactly supported correlation functions. Journal of Multivariate Analysis 2002, 83:493-508.
    • (2002) Journal of Multivariate Analysis , vol.83 , pp. 493-508
    • Gneiting, T.1
  • 16
    • 54949111733 scopus 로고    scopus 로고
    • Bayesian treed Gaussian process models with an application to computer modeling
    • Gramacy R., Lee H. Bayesian treed Gaussian process models with an application to computer modeling. Journal of the American Statistical Association 2008, 103:1119-1130.
    • (2008) Journal of the American Statistical Association , vol.103 , pp. 1119-1130
    • Gramacy, R.1    Lee, H.2
  • 17
    • 77049126613 scopus 로고    scopus 로고
    • A primer on space-time modeling from a Bayesian perspective
    • Chapman and Hall, (Chapter 6), B. Finkenstädt, L. Held, V. Isham (Eds.)
    • Higdon D. A primer on space-time modeling from a Bayesian perspective. Statistical Methods for Spatio-Temporal Systems 2007, 217-279. Chapman and Hall, (Chapter 6). B. Finkenstädt, L. Held, V. Isham (Eds.).
    • (2007) Statistical Methods for Spatio-Temporal Systems , pp. 217-279
    • Higdon, D.1
  • 18
    • 0000439277 scopus 로고    scopus 로고
    • Non-stationary spatial modeling
    • in: Proceedings of the Sixth Valencia International Meeting,
    • D.M. Higdon, J. Swall, J. Kern, Non-stationary spatial modeling, in: Proceedings of the Sixth Valencia International Meeting, 1999, pp. 761-768.
    • (1999) , pp. 761-768
    • Higdon, D.M.1    Swall, J.2    Kern, J.3
  • 21
    • 70350302371 scopus 로고    scopus 로고
    • A spatio-temporal model for mean, anomaly and trend fields of North Atlantic sea surface temperature (with discussion)
    • Lemos R., Sansó B. A spatio-temporal model for mean, anomaly and trend fields of North Atlantic sea surface temperature (with discussion). Journal of American Statistical Association 2009, 104:5-25. 10.1198/jasa.2009.0018.
    • (2009) Journal of American Statistical Association , vol.104 , pp. 5-25
    • Lemos, R.1    Sansó, B.2
  • 22
    • 84865486245 scopus 로고
    • Principles of geostatistics
    • Matheron G. Principles of geostatistics. Economic Geology 1963, 58:1246-1266.
    • (1963) Economic Geology , vol.58 , pp. 1246-1266
    • Matheron, G.1
  • 23
    • 84993734384 scopus 로고    scopus 로고
    • Multiresolution models for nonstationary spatial covariance functions
    • Nychka D., Wikle C., Royle J. Multiresolution models for nonstationary spatial covariance functions. Statistical Modelling 2002, 2:315-332.
    • (2002) Statistical Modelling , vol.2 , pp. 315-332
    • Nychka, D.1    Wikle, C.2    Royle, J.3
  • 24
    • 34247197120 scopus 로고    scopus 로고
    • Bayesian smoothing with Gaussian processes using Fourier basis functions in the spectral GP package
    • Paciorek C. Bayesian smoothing with Gaussian processes using Fourier basis functions in the spectral GP package. Journal of Statistical Software 2007, 19:1-38.
    • (2007) Journal of Statistical Software , vol.19 , pp. 1-38
    • Paciorek, C.1
  • 25
    • 33745999511 scopus 로고    scopus 로고
    • Spatial modelling using a new class of nonstationary covariance functions
    • Paciorek C.J., Schervish M.J. Spatial modelling using a new class of nonstationary covariance functions. Environmetrics 2006, 17:483-506.
    • (2006) Environmetrics , vol.17 , pp. 483-506
    • Paciorek, C.J.1    Schervish, M.J.2
  • 29
    • 0042171731 scopus 로고    scopus 로고
    • Bayesian inference for non-stationary spatial covariance structures via spatial deformations
    • Schmidt A.M., O'Hagan A. Bayesian inference for non-stationary spatial covariance structures via spatial deformations. Journal of the Royal Statistical Society. Series B 2003, 65:743-758.
    • (2003) Journal of the Royal Statistical Society. Series B , vol.65 , pp. 743-758
    • Schmidt, A.M.1    O'Hagan, A.2
  • 33
    • 0001760833 scopus 로고
    • On stationary processes in the plane
    • Whittle P. On stationary processes in the plane. Biometrika 1954, 41:434-449.
    • (1954) Biometrika , vol.41 , pp. 434-449
    • Whittle, P.1
  • 34
    • 29144508557 scopus 로고    scopus 로고
    • A kernel-based spatio-temporal dynamical model for nowcasting radar precipitation
    • Xu K., Wikle C., Fox N. A kernel-based spatio-temporal dynamical model for nowcasting radar precipitation. Journal of the American Statistical Association 2005, 100:1133-1144.
    • (2005) Journal of the American Statistical Association , vol.100 , pp. 1133-1144
    • Xu, K.1    Wikle, C.2    Fox, N.3
  • 35
    • 0003610302 scopus 로고
    • Correlation Theory of Stationary and Related Random Functions I: Basic Results
    • Springer-Verlag, New York
    • Yaglom A. Correlation Theory of Stationary and Related Random Functions I: Basic Results. Springer Series in Statistics 1986, Springer-Verlag, New York.
    • (1986) Springer Series in Statistics
    • Yaglom, A.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.