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Empirical Bayes spatial prediction using a Monte Carlo EM algorithm

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  • Majid Khaledi
  • Firoozeh Rivaz

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Suggested Citation

  • Majid Khaledi & Firoozeh Rivaz, 2009. "Empirical Bayes spatial prediction using a Monte Carlo EM algorithm," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 18(1), pages 35-47, March.
    • Handle: RePEc:spr:stmapp:v:18:y:2009:i:1:p:35-47
    DOI: 10.1007/s10260-007-0081-5
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    References listed on IDEAS

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    1. Sudipto Banerjee, 2005. "On Geodetic Distance Computations in Spatial Modeling," Biometrics, The International Biometric Society, vol. 61(2), pages 617-625, June.
    2. Palacios, M. Blanca & Steel, Mark F.J., 2006. "Non-Gaussian Bayesian Geostatistical Modeling," Journal of the American Statistical Association, American Statistical Association, vol. 101, pages 604-618, June.
    3. Berger J.O. & De Oliveira V. & Sanso B., 2001. "Objective Bayesian Analysis of Spatially Correlated Data," Journal of the American Statistical Association, American Statistical Association, vol. 96, pages 1361-1374, December.
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    Cited by:

    1. Masoud Faridi & Majid Jafari Khaledi, 2022. "The polar-generalized normal distribution: properties, Bayesian estimation and applications," Statistical Papers, Springer, vol. 63(2), pages 571-603, April.

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