Litcius/Paper detail

Unsuitability of NOTEARS for Causal Graph Discovery when Dealing with Dimensional Quantities

Marcus Kaiser, Maksim Sipos

2022Neural Processing Letters22 citationsDOI

Topics & Concepts

Robustness (evolution)Causal structureObservational studyCausal modelComputational intelligenceComputer scienceDirected acyclic graphVariance (accounting)ResidualData miningArtificial intelligenceMachine learningEconometricsMathematicsAlgorithmStatisticsBiologyBusinessQuantum mechanicsAccountingPhysicsGeneBiochemistryBayesian Modeling and Causal InferenceData Quality and ManagementRough Sets and Fuzzy Logic
Unsuitability of NOTEARS for Causal Graph Discovery when Dealing with Dimensional Quantities | Litcius