Gaussian Processes for Independence Tests with Non-iid Data in Causal Inference
ACM TIST, Volume 7, Issue 2, 2016.
In applied fields, practitioners hoping to apply causal structure learning or causal orientation algorithms face an important question: which independence test is appropriate for my data? In the case of real-valued iid data, linear dependencies, and Gaussian error terms, partial correlation is sufficient. But once any of these assumptions...More
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