Likelihood Models

Henning Omre, Torstein M. Fjeldstad and Ole Bernhard Forberg
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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

Chapter Chapter 5 in Bayesian Spatial Modelling with Conjugate Prior Models, 2024, pp 37-45 from Springer

Abstract: Abstract This chapter contains definitions of classes of observations likelihood models for the spatial continuous, event and mosaic variables. Observation designs for which a conjugate prior model exists are identified and modelled. Likelihood models for other frequently used observation acquisition procedures are also specified. The likelihood models for the examples used throughout the book for evaluating spatial continuous, event and mosaic variables are introduced.

Date: 2024
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DOI: 10.1007/978-3-031-65418-3_5

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