English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Tools annual

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Presents the access of premium content as premium feature

Premium Content

Global: Zendy Plus annual

Global: Zendy Free Plan

The classical causal relations between a set of variables, some observed andsome latent, can induce both equality constraints (typically conditionalindependences) as well as inequality constraints (Instrumental and Bellinequalities being prototypical examples) on their compatible distribution overthe observed variables. Enumerating a causal structure's implied inequalityconstraints is generally far more difficult than enumerating its equalities.Furthermore, only inequality constraints ever admit violation by quantumcorrelations. For both those reasons, it is important to classify causalscenarios into those which impose inequality constraints versus those which donot. Here we develop methods for detecting such scenarios by appealing tod-separation, e-separation, and incompatible supports. Many (perhaps all?)scenarios with exclusively equality constraints can be detected via a conditionarticulated by Henson, Lal and Pusey (HLP). Considering all scenarios with upto 4 observed variables, which number in the thousands, we are able to resolveall but three causal scenarios, providing evidence that the HLP condition is,in fact, exhaustive.

Classifying Causal Structures: Ascertaining when Classical Correlations are Constrained by Inequalities