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Giry monad
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Giry monad
In mathematics, the Giry monad is a construction that assigns to a measurable space a space of probability measures over it, equipped with a canonical sigma-algebra. It is one of the main examples of a probability monad.
It is implicitly used in probability theory whenever one considers probability measures which depend measurably on a parameter (giving rise to Markov kernels), or when one has probability measures over probability measures (such as in de Finetti's theorem).
Like many iterable constructions, it has the category-theoretic structure of a monad, on the category of measurable spaces.
The Giry monad, like every monad, consists of three structures:
Let be a measurable space. Denote by the set of probability measures over . We equip the set with a sigma-algebra as follows. First of all, for every measurable set , define the map by . We then define the sigma algebra on to be the smallest sigma-algebra which makes the maps measurable, for all (where is assumed equipped with the Borel sigma-algebra).
Equivalently, can be defined as the smallest sigma-algebra on which makes the maps
measurable for all bounded measurable .
The assignment is part of an endofunctor on the category of measurable spaces, usually denoted again by . Its action on morphisms, i.e. on measurable maps, is via the pushforward of measures. Namely, given a measurable map , one assigns to the map defined by
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Giry monad
In mathematics, the Giry monad is a construction that assigns to a measurable space a space of probability measures over it, equipped with a canonical sigma-algebra. It is one of the main examples of a probability monad.
It is implicitly used in probability theory whenever one considers probability measures which depend measurably on a parameter (giving rise to Markov kernels), or when one has probability measures over probability measures (such as in de Finetti's theorem).
Like many iterable constructions, it has the category-theoretic structure of a monad, on the category of measurable spaces.
The Giry monad, like every monad, consists of three structures:
Let be a measurable space. Denote by the set of probability measures over . We equip the set with a sigma-algebra as follows. First of all, for every measurable set , define the map by . We then define the sigma algebra on to be the smallest sigma-algebra which makes the maps measurable, for all (where is assumed equipped with the Borel sigma-algebra).
Equivalently, can be defined as the smallest sigma-algebra on which makes the maps
measurable for all bounded measurable .
The assignment is part of an endofunctor on the category of measurable spaces, usually denoted again by . Its action on morphisms, i.e. on measurable maps, is via the pushforward of measures. Namely, given a measurable map , one assigns to the map defined by