Abstract
The notion of quasi-Borel spaces was introduced by
Heunen et al. The theory provides a suitable
denotational model for higher-order probabilistic programming
languages with continuous distributions. This entry is a formalization
of the theory of quasi-Borel spaces, including construction of
quasi-Borel spaces (product, coproduct, function spaces), the
adjunction between the category of measurable spaces and the category
of quasi-Borel spaces, and the probability monad on quasi-Borel
spaces. This entry also contains the formalization of the Bayesian
regression presented in the work of Heunen et al. This work is a part
of the work by same authors, Program Logic for Higher-Order
Probabilistic Programs in Isabelle/HOL, which will be
published in the proceedings of the 16th International Symposium on
Functional and Logic Programming (FLOPS 2022).
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Topics
Session Quasi_Borel_Spaces
- StandardBorel
- QuasiBorel
- Measure_QuasiBorel_Adjunction
- Binary_Product_QuasiBorel
- Product_QuasiBorel
- Binary_CoProduct_QuasiBorel
- CoProduct_QuasiBorel
- Exponent_QuasiBorel
- Probability_Space_QuasiBorel
- Monad_QuasiBorel
- Pair_QuasiBorel_Measure
- Measure_as_QuasiBorel_Measure
- Bayesian_Linear_Regression