Abstract Costa and Shrapnel ([2016]) have recently proposed an interventionist theory of
quantum causation. The formalism generalizes the classical methods of Pearl ([2000]) and …

Through the introduction of his 'common cause principle'[The Direction of Time, 1956], Hans
Reichenbach was the first to formulate a precise link relating causal claims to statements of …

In this article we set out to understand the significance of the process matrix formalism and
the quantum causal modelling programme for ongoing disputes about the role of causation …

Identifying causal relations plays an indispensable role in science, economics, medicine
and everyday life. Interventionist causation associates the discovery of such relations with …

Figure 1: In statistics, causal models can be used to extract cause-effect relationships from
empirical data on a complex system. Existing models, however, do not apply if at least one …

Reichenbach's principle asserts that if two observed variables are found to be correlated,
then there should be a causal explanation of these correlations. Furthermore, if the …

Though the topic of causal inference is typically considered in the context of classical
statistical models, recent years have seen great interest in extending causal inference …

Inferring causal relations from empirical data is a central task in any scientific inquiry. To that
aim, a mathematical theory of causality has been developed, not only stating under which …

Causal reasoning is essential to science, yet quantum theory challenges it. Quantum
correlations violating Bell inequalities defy satisfactory causal explanations within the …

Two events are said to be (positively) correlated when the occurrence of one increases the
probability of the other. Provided that neither event causes the other, a causal model must …