Ontology highlight
ABSTRACT:
SUBMITTER: Weilenmann M
PROVIDER: S-EPMC5719630 | biostudies-literature | 2017 Nov
REPOSITORIES: biostudies-literature
Proceedings. Mathematical, physical, and engineering sciences 20171101 2207
A central question for causal inference is to decide whether a set of correlations fits a given causal structure. In general, this decision problem is computationally infeasible and hence several approaches have emerged that look for certificates of compatibility. Here, we review several such approaches based on entropy. We bring together the key aspects of these entropic techniques with unified terminology, filling several gaps and establishing new connections, all illustrated with examples. We ...[more]