A Bunched Logic for Conditional Independence

2021 36th Annual ACM/IEEE Symposium on Logic in Computer Science (LICS)(2021)

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摘要
Independence and conditional independence are fundamental concepts for reasoning about groups of random variables in probabilistic programs. Verification methods for independence are still nascent, and existing methods cannot handle conditional independence. We extend the logic of bunched implications (BI) with a non-commutative conjunction and provide a model based on Markov kernels; conditional ...
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关键词
Computer science,Databases,Computational modeling,Markov processes,Probabilistic logic,Cognition,Random variables
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