3 citations · 7 across the 4 of their papers we have counts for
4 papers
An Automated Approach to Causal Inference in Discrete Settings
Guilherme Duarte, Noam Finkelstein, Dean Knox +2
When causal quantities cannot be point identified, researchers often pursue partial identification to quantify the range of possible values. However, the peculiarities of applied r…
Entropic Inequality Constraints from -separation Relations in Directed Acyclic Graphs with Hidden Variables
Noam Finkelstein, Beata Zjawin, Elie Wolfe +2
Directed acyclic graphs (DAGs) with hidden variables are often used to characterize causal relations between variables in a system. When some variables are unobserved, DAGs imply a…
Partial Identifiability in Discrete Data With Measurement Error
Noam Finkelstein, Roy Adams, Suchi Saria +1
When data contains measurement errors, it is necessary to make assumptions relating the observed, erroneous data to the unobserved true phenomena of interest. These assumptions sho…
Deriving Bounds and Inequality Constraints Using LogicalRelations Among Counterfactuals
Noam Finkelstein, Ilya Shpitser
Causal parameters may not be point identified in the presence of unobserved confounding. However, information about non-identified parameters, in the form of bounds, may still be r…