Bayesian Inversion by ω-complete cone duality
The process of inverting Markov kernels relates to the important subject of Bayesian modelling and learning. In fact, Bayesian update is exactly kernel inversion. In this paper, we investigate how and when Markov kernels (aka stochastic relations, or probabilistic mappings, or simply kernels) can be...
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| フォーマット: | Conference item |
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Schloss Dagstuhl - Leibniz-Zentrum für Informatik
2016
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