Consistency guarantees for greedy permutation-based causal inference algorithms

DOI10.1093/biomet/asaa104OpenAlexW3119547197WikidataQ130530797 ScholiaQ130530797MaRDI QIDQ5022664

Liam Solus, Yuhao Wang, Caroline Uhler

Publication date: 19 January 2022

Published in: Biometrika (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1702.03530

zbMATH Keywords

directed acyclic graphBayesian networkcausal inferenceGaussian graphical modelgeneralized permutohedrongreedy searchfaithfulnessDAG associahedronpointwise and high-dimensional consistency

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (4)

Greedy Causal Discovery Is Geometric ⋮ Causal structure learning: a combinatorial perspective ⋮ Complexity analysis of Bayesian learning of high-dimensional DAG models and their equivalence classes ⋮ A survey on causal discovery: theory and practice

This page was built for publication: Consistency guarantees for greedy permutation-based causal inference algorithms