Abstract
Aspects of Bayesian prediction have been addressed in previous chapters. In particular, Chaps. 7 and 9 show a Bayesian implementation of the spike and slab model for continuous and binary records, respectively, and illustrate how the marginal posterior distribution of validating mean squared errors can easily be computed in an McMC environment (pages 331 and 386).
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Sorensen, D. (2023). Bayesian Prediction and Model Checking. In: Statistical Learning in Genetics. Statistics for Biology and Health. Springer, Cham. https://doi.org/10.1007/978-3-031-35851-7_10
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DOI: https://doi.org/10.1007/978-3-031-35851-7_10
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