Better Simulations for Validating Causal Discovery with the DAG-Adaptation of the Onion Method

21 May 2024

Papers citing "Better Simulations for Validating Causal Discovery with the DAG-Adaptation of the Onion Method"

6 / 6 papers shown

Title
Unitless Unrestricted Markov-Consistent SCM Generation: Better Benchmark Datasets for Causal Discovery Rebecca Herman Jonas Wahl Urmi Ninad Jakob Runge 47 0 0 21 Mar 2025
An extensive simulation study evaluating the interaction of resampling techniques across multiple causal discovery contexts Ritwick Banerjee Bryan Andrews Erich Kummerfeld CML 43 0 0 19 Mar 2025
Choosing DAG Models Using Markov and Minimal Edge Count in the Absence of Ground Truth Joseph Ramsey Bryan Andrews Peter Spirtes CML 24 2 0 30 Sep 2024
DAGMA: Learning DAGs via M-matrices and a Log-Determinant Acyclicity Characterization Kevin Bello Bryon Aragam Pradeep Ravikumar 50 78 0 16 Sep 2022
Parameter Priors for Directed Acyclic Graphical Models and the Characterization of Several Probability Distributions D. Geiger David Heckerman 111 195 0 05 May 2021
Bayesian structure learning and sampling of Bayesian networks with the R package BiDAG Polina Suter Jack Kuipers G. Moffa N. Beerenwinkel 48 39 0 02 May 2021