Learning the structure of multivariate regression chain graphs by testing complete separators in prime blocks
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DOI: 10.1007/s10489-024-05752-z
Abstract: This paper introduces an algorithm to construct a bidirectional causal graph using an augmented graph. The algorithm decomposes the augmented graph, significantly reducing the size of the variable set required for conditional independence testing. Simultaneously,… read more here.
Keywords: regression chain; augmented graph; multivariate regression; structure ... See more keywords