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Causal Graphical Model

MachineLearningTask AIO:CausalGraphicalModel NOT_REVIEWED
A probabilistic graphical model used to encode assumptions about the data-generating process.
Ontology IRI: https://w3id.org/aio/CausalGraphicalModel

Ontology Structure & Relationships

Parent Classes
Branches
MachineLearningTask

Annotations & Sources

Synonyms:
  • Casaul Bayesian Network exact
  • Casaul Graph exact
  • DAG exact
  • Directed Acyclic Graph exact
  • Path Diagram exact
Definition Sources:
Subsets:
  • https://w3id.org/aio/MachineLearningSubset

Curated AIMech Concepts Grounded to this Class

4 Concepts
Curated Concept Kind Mapping Relation Rationale
Bivariate counterfactual-fairness sensitivity analysis
AIMech:BivariateCounterfactualFairnessSensitivity
 Evaluation Methods related_match Evaluates predictor sensitivity using alternative causal graphical models and their counterfactuals. This evaluation procedure is not itself a causal model family or a type of bias.
Counterfactual fairness
AIMech:CounterfactualFairness
 Evaluation Criteria related_match The criterion is defined and assessed using a structural causal model that encodes the data-generating assumptions. AIO CausalGraphicalModel describes that supporting model type; the criterion itself is neither a graphical model nor an equivalent causal graph.
FAIRLEARNING
AIMech:FairLearning
 Algorithms related_match Requires a causal graphical model to infer background variables and identify non-descendants. It is a learning algorithm using the model, not a causal model family or an AIO subclass claim.
MAXCFU
AIMech:MaxCFU
 Evaluation Methods related_match Uses counterfactuals from parameterized causal graphical models to assess prediction sensitivity. The evaluation algorithm and the model class are related, without an equivalence or subclass assertion.

Import Provenance & Upstream Synchronization

Source Repo: AIO GitHub
Release Version: aio.json
Commit: 397851c547…
License: CC-BY-4.0
Imported At: 2026-10-10T07:34:10Z
SHA256: 8f741d71408c…
Source File: data/aio/CausalGraphicalModel.yaml