Work

Topological Conditional Separation

Year: 2021

Type: preprint

Abstract: Pearl's d-separation is a foundational notion to study conditional independence between random variables. We define the topological conditional separation and we show that it is equivalent to the d-separation, extended beyond acyclic graphs, be they finite or infinite.

Source: arXiv (Cornell University)

DOI: 10.48550/arxiv.2108.03096

Authors: de Lara, Michel, Chancelier, Jean-Philippe, Heymann, Benjamin

Institutions: CERMICS, Criteo (France)

Language: English

Topic: Bayesian Modeling and Causal Inference

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W3192214693

Cites: 5

Cited by: 1

Related to: 10