Categoroids: Universal Conditional Independence
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Abstract (arXiv)
Conditional independence has been widely used in AI, causal inference, machine learning, and statistics. We introduce categoroids, an algebraic structure for characterizing universal properties of conditional independence. Categoroids are defined as a hybrid of two categories: one encoding a preordered lattice structure defined by objects and arrows between them; the second dual parameterization involves trigonoidal objects and morphisms defining a conditional independence structure, with bridge morphisms providing the interface between the binary and ternary structures. We illustrate categoroids using three well-known examples of axiom sets: graphoids, integer-valued multisets, and separoids. Functoroids map one categoroid to another, preserving the relationships defined by all three types of arrows in the co-domain categoroid. We describe a natural transformation across functoroids, which is natural across regular objects and trigonoidal objects, to construct universal representations of conditional independence.. We use adjunctions and monads between categoroids to abstractly characterize faithfulness of graphical and non-graphical representations of conditional independence.
Key facts. Cited by 3 papers in the map (data through 14 Oct 2026). Builds on 9 of its 44 references that are in the map. First posted on arXiv 23 Aug 2022.
Builds on
9 of 44 references.
References · 9
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- 2015Margins of discrete Bayesian networkscited by 26
- 2021An enriched category theory of language: from syntax to semanticscited by 22
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- 2021Causal Homotopycited by 4
- 2022Learning general conditional independence structures via the neighbourhood latticecited by 4
- 2013An Alternative Markov Property for Chain Graphscited by 2
- 2022On The Universality of Diagrams for Causal Inference and The Causal Reproducing Propertycited by 2
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Citing papers per year: 2022: 1; 2023: 1; 2024: 0; 2025: 0; 2026: 1.
3 papers.