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Categorical probability

From Wikipedia, the free encyclopedia

In mathematics, the term categorical probability denotes a collection of category-theoretic approaches to probability theory and related fields such as statistics, information theory and ergodic theory.

The earliest ideas in the field were developed independently by Lawvere and by Chentsov, where they defined a version of what we today call the category of Markov kernels, and appeared in 1962 and 1965 respectively.[1][2]

Some of the most widely used structures in the theory are

References

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  1. ^ W. Lawvere, The category of probabilistic mappings, 1962.
  2. ^ N. N. Chentsov, The categories of mathematical statistics, Dokl. Akad. SSSR 164, 1965.

Further reading

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