15 citations · 16 across the 4 of their papers we have counts for
4 papers · 1 filter
Regression Identifiability and Edge Interventions in Linear Structural Equation Models
Bohao Yao, Robin J. Evans
In this paper, we introduce a new identifiability criteria for linear structural equation models, which we call regression identifiability. We provide necessary and sufficient grap…
Dependency in DAG models with Hidden Variables
Robin J. Evans
Directed acyclic graph models with hidden variables have been much studied, particularly in view of their computational efficiency and connection with causal methods. In this paper…
Towards Characterising Bayesian Network Models under Selection
Angelos P. Armen, Robin J. Evans
Real-life statistical samples are often plagued by selection bias, which complicates drawing conclusions about the general population. When learning causal relationships between th…
Graphical methods for inequality constraints in marginalized DAGs
Robin J. Evans
We present a graphical approach to deriving inequality constraints for directed acyclic graph (DAG) models, where some variables are unobserved. In particular we show that the obse…