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Non-Gaussian Bayesian Geostatistical Modeling

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  • Palacios, M. Blanca
  • Steel, Mark F.J.

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  • 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.
    • Handle: RePEc:bes:jnlasa:v:101:y:2006:p:604-618
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    Cited by:

    1. Philipp Otto & Osman Dou{g}an & Suleyman Tac{s}p{i}nar & Wolfgang Schmid & Anil K. Bera, 2023. "Spatial and Spatiotemporal Volatility Models: A Review," Papers 2308.13061, arXiv.org.
    2. Vahid Tadayon & Abdolrahman Rasekh, 2019. "Non-Gaussian Covariate-Dependent Spatial Measurement Error Model for Analyzing Big Spatial Data," Journal of Agricultural, Biological and Environmental Statistics, Springer;The International Biometric Society;American Statistical Association, vol. 24(1), pages 49-72, March.
    3. Victor De Oliveira, 2013. "Poisson Kriging," Working Papers 0166mss, College of Business, University of Texas at San Antonio.
    4. Jafari Khaledi, Majid & Zareifard, Hamid & Boojari, Hossein, 2023. "A spatial skew-Gaussian process with a specified covariance function," Statistics & Probability Letters, Elsevier, vol. 192(C).
    5. Kassahun Abere Ayalew & Samuel Manda & Bo Cai, 2021. "A Comparison of Bayesian Spatial Models for HIV Mapping in South Africa," IJERPH, MDPI, vol. 18(21), pages 1-10, October.
    6. Zareifard, Hamid & Jafari Khaledi, Majid, 2013. "Non-Gaussian modeling of spatial data using scale mixing of a unified skew Gaussian process," Journal of Multivariate Analysis, Elsevier, vol. 114(C), pages 16-28.
    7. 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.
    8. Ganggang Xu & Marc G. Genton, 2017. "Tukey -and- Random Fields," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 112(519), pages 1236-1249, July.

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