Effective and scalable causal partitioning based on low-order conditional independent tests
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DOI: 10.1016/j.neucom.2020.01.021
Abstract: Abstract Recovering causal relationships from observed data is crucial to a variety of applications. Due to the curse of dimensionality, general causal discovery methods such as constraint-based methods and functional model based methods are not… read more here.
Keywords: conditional independent; independent tests; order conditional; causal partitioning ... See more keywords