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Causal Probabilistic Programming via Magmadic Do-Notation

Year: 2026

Type: preprint

Abstract: We introduce a do-notation metalanguage for causal probabilistic programming. The metalanguage is based on magmads: non-associative monads. We derive causal probabilistic programming constructs from non-associativity and the primitives of probabilistic programming.

Source: arXiv (Cornell University)

DOI: 10.48550/arxiv.2609.02873

Author: Román, Mario

Topic: Bayesian Modeling and Causal Inference

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

Funder: Eesti Teadusagentuur

OpenAlex ID: W7207743533

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