PROBABILITY & STATISTICS

The Logical Essentials of Bayesian Reasoning

Resource type
Authors/contributors
Title
The Logical Essentials of Bayesian Reasoning
Abstract
This chapter offers an accessible introduction to the channel-based approach to Bayesian probability theory. This framework rests on algebraic and logical foundations, inspired by the methodologies of programming language semantics. It offers a uniform, structured and expressive language for describing Bayesian phenomena in terms of familiar programming concepts, like channel, predicate transformation and state transformation. The introduction also covers inference in Bayesian networks, which will be modelled by a suitable calculus of string diagrams.
Publication
arXiv:1804.01193 [cs]
Date
2018-04-27
Accessed
2019-11-21T20:39:51Z
Library Catalog
Extra
ZSCC: 0000016 arXiv: 1804.01193
Citation
Jacobs, B., & Zanasi, F. (2018). The Logical Essentials of Bayesian Reasoning. ArXiv:1804.01193 [Cs]. Retrieved from http://arxiv.org/abs/1804.01193
Attachment
Processing time: 0.02 seconds

Graph of references

(from Zotero to Gephi via Zotnet with this script)
Graph of references