Quantitative information flow with Monads in Haskell
Monads are a popular feature of the programming language Haskell because they can model many different notions of computation in a uniform and purely functional way. Our particular interest here is the probability monad, which can be -- and has been -- used to synthesise models for probabilistic pro...
主要な著者: | Gibbons, J, McIver, A, Morgan, C, Schrijvers, T |
---|---|
その他の著者: | Barthe, G |
フォーマット: | Book section |
言語: | English |
出版事項: |
Cambridge University Press
2020
|
類似資料
-
Abstract Hidden Markov Models: a monadic account of quantitative information flow
著者:: Annabelle McIver, 等
出版事項: (2019-03-01) -
Categories for the Working Haskeller
著者:: Gibbons, J
出版事項: (2014) -
Monads for behaviour
著者:: Piróg, M, 等
出版事項: (2013) -
Monads for behaviour
著者:: Piróg, M, 等
出版事項: (2013) -
The coinductive resumption monad
著者:: Piróg, M, 等
出版事項: (2014)