Search Results for author:
Found 7 papers, 0 papers with code
Classifying Causal Structures: Ascertaining when Classical Correlations are Constrained by Inequalities
Considering all scenarios with up to 4 observed variables, which number in the thousands, we are able to resolve all but three causal scenarios, providing evidence that the HLP condition is, in fact, exhaustive.
Restricted Hidden Cardinality Constraints in Causal Models
Causal models with unobserved variables impose nontrivial constraints on the distributions over the observed variables.
Entropic Inequality Constraints from $e$-separation Relations in Directed Acyclic Graphs with Hidden Variables
Directed acyclic graphs (DAGs) with hidden variables are often used to characterize causal relations between variables in a system.
Causal Networks and Freedom of Choice in Bell's Theorem
Bell's theorem is typically understood as the proof that quantum theory is incompatible with local-hidden-variable models.
Quantum Inflation: A General Approach to Quantum Causal Compatibility
Causality is a seminal concept in science: Any research discipline, from sociology and medicine to physics and chemistry, aims at understanding the causes that could explain the correlations observed among some measured variables.
The Inflation Technique Completely Solves the Causal Compatibility Problem
We prove that inflation is asymptotically tight, i. e., that the hierarchy converges to a zero-error test for causal compatibility.
The Inflation Technique for Causal Inference with Latent Variables
We describe an algorithm for deriving all such inequalities for the original causal structure that follow from ancestral independences in the inflation.
