Markov categories and entropy
P Perrone - IEEE Transactions on Information Theory, 2023 - ieeexplore.ieee.org
Markov categories are a novel framework to describe and treat problems in probability and
information theory. In this work we combine the categorical formalism with the traditional …
information theory. In this work we combine the categorical formalism with the traditional …
Information Decomposition Diagrams Applied beyond Shannon Entropy: A Generalization of Hu's Theorem
In information theory, one major goal is to find useful functions that summarize the amount of
information contained in the interaction of several random variables. Specifically, one can …
information contained in the interaction of several random variables. Specifically, one can …
[PDF][PDF] INFORMATION DECOMPOSITION DIAGRAMS AP-PLIED BEYOND SHANNON ENTROPY: A GENERAL
In information theory, one major goal is to find useful functions that summarize the amount of
information contained in the interaction of several random variables. Specifically, one can …
information contained in the interaction of several random variables. Specifically, one can …