Gaussian Processes for Independence Tests with Non-iid Data in Causal Inference

    ACM TIST, Volume 7, Issue 2, 2016.

    Cited by: 15|Bibtex|16|
    EI

    Abstract:

    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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