Bayesian Inversion by ω-complete cone duality

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...

書誌詳細
主要な著者:	Dahlqvist, F, Danos, V, Garnier, I, Kammar, O
フォーマット:	Conference item
出版事項:	Schloss Dagstuhl - Leibniz-Zentrum für Informatik 2016

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