36 citations · 91 across the 5 of their papers we have counts for
5 papers
Towards Complete Causal Explanation with Expert Knowledge
Aparajithan Venkateswaran, Emilija Perković
We study the problem of restricting a Markov equivalence class of maximal ancestral graphs (MAGs) to only those MAGs that contain certain edge marks, which we refer to as expert or…
Minimal enumeration of all possible total effects in a Markov equivalence class
F. Richard Guo, Emilija Perković
In observational studies, when a total causal effect of interest is not identified, the set of all possible effects can be reported instead. This typically occurs when the underlyi…
Interpreting and using CPDAGs with background knowledge
Emilija Perković, Markus Kalisch, Maloes H. Maathuis
We develop terminology and methods for working with maximally oriented partially directed acyclic graphs (maximal PDAGs). Maximal PDAGs arise from imposing restrictions on a Markov…
Complete Graphical Characterization and Construction of Adjustment Sets in Markov Equivalence Classes of Ancestral Graphs
Emilija Perković, Johannes Textor, Markus Kalisch +1
We present a graphical criterion for covariate adjustment that is sound and complete for four different classes of causal graphical models: directed acyclic graphs (DAGs), maximum…
A Complete Generalized Adjustment Criterion
Emilija Perković, Johannes Textor, Markus Kalisch +1
Covariate adjustment is a widely used approach to estimate total causal effects from observational data. Several graphical criteria have been developed in recent years to identify…