Search Results for author: Ciarán M. Lee

Found 4 papers, 1 papers with code

Integrating overlapping datasets using bivariate causal discovery

no code implementations24 Oct 2019 Anish Dhir, Ciarán M. Lee

Previous approaches to overcoming this shortcoming devised algorithms that returned all joint causal structures consistent with the conditional independence information contained in each individual dataset.

Causal Discovery

Leveraging directed causal discovery to detect latent common causes

no code implementations22 Oct 2019 Ciarán M. Lee, Christopher Hart, Jonathan G. Richens, Saurabh Johri

Here, we devise a general heuristic which takes a causal discovery algorithm that can only distinguish purely directed causal relations and modifies it to also detect latent common causes.

Causal Discovery Causal Inference +1

Causal inference via algebraic geometry: feasibility tests for functional causal structures with two binary observed variables

no code implementations12 Jun 2015 Ciarán M. Lee, Robert W. Spekkens

We provide a scheme for inferring causal relations from uncontrolled statistical data based on tools from computational algebraic geometry, in particular, the computation of Groebner bases.

Causal Inference

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