```condition``` vs making ```MarkovKernels``` callable

filtron / MarkovKernels.jl

Marginal distributions and Markov kernels that play nice with each other for the purpose of Bayesian state estimation.

MIT License

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```condition``` vs making ```MarkovKernels``` callable #79

Open filtron opened 11 months ago

filtron commented 11 months ago

It might be more natural to think of a Markov kernel as a family of probability distributions indexed by some parameter $x \in \mathbb{X}$. Thus, to retrieve the probability distribution for a particular $x$ it might be more natural to write

markov_kernel(x)

rather than the current

condition(markov_kernel, x)