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Prior Models

In: Bayesian Spatial Modelling with Conjugate Prior Models

Author

Listed:
  • Henning Omre

    (Norwegian University of Science and Technology, Department of Mathematical Sciences)

  • Torstein M. Fjeldstad

    (Norwegian Computing Center)

  • Ole Bernhard Forberg

    (Norwegian University of Science and Technology, Department of Mathematical Sciences)

Abstract

This chapter presents stationary versions of the Gaussian, Poisson and Markov random field models as prior models for spatial continuous, event and mosaic variables, respectively. For each of these prior models, detailed discussions of their parametrisations and characteristics are presented. We discuss topics specifically related to each prior model and present prior models based on hierarchical versions of the random fields under study. The running examples are continued.

Suggested Citation

  • Henning Omre & Torstein M. Fjeldstad & Ole Bernhard Forberg, 2024. "Prior Models," Springer Books, in: Bayesian Spatial Modelling with Conjugate Prior Models, chapter 0, pages 47-83, Springer.
    • Handle: RePEc:spr:sprchp:978-3-031-65418-3_6
    DOI: 10.1007/978-3-031-65418-3_6
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