How are category theory and probability theory related?

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How are category theory and probability theory related ? Category theory seems very useful for understanding objects with definite relationships, whereas probability theory (particular Bayesian methods), can be applied to areas where there is uncertainty. My question is, what attempts have been made to combine these disciplines ? Are there areas of category theory which focus upon probabilistic situations ? Have there been approaches using Bayesian methods etc. to build category theoretic representations of data ? Are there applications of category theory to probabilistic programming ?