2017
DOI: 10.1007/978-3-319-72150-7_21
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A Community-Driven Graph Partitioning Method for Constraint-Based Causal Discovery

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Cited by 3 publications
(1 citation statement)
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“…Longitudinal designs would both better address the temporal relations among these constructs as well as reduce reliance on retrospective memory if using a sample of acutely traumatized individuals. Furthermore, tests of RESIT against other methods for determining causal direction (e.g., Chaudhary & Samatova, 2018) have indicated that other methods (e.g., LiNGAM, CRPAM) outperform RESIT in determining causal direction and may provide more specific indications of direction in the future. In addition, continued use of RESIT in psychological and behavioral data will provide more support for its use beyond those in simulated data or geological or climatological surveys (Mooij et al, 2016).…”
Section: Discussionmentioning
confidence: 99%
“…Longitudinal designs would both better address the temporal relations among these constructs as well as reduce reliance on retrospective memory if using a sample of acutely traumatized individuals. Furthermore, tests of RESIT against other methods for determining causal direction (e.g., Chaudhary & Samatova, 2018) have indicated that other methods (e.g., LiNGAM, CRPAM) outperform RESIT in determining causal direction and may provide more specific indications of direction in the future. In addition, continued use of RESIT in psychological and behavioral data will provide more support for its use beyond those in simulated data or geological or climatological surveys (Mooij et al, 2016).…”
Section: Discussionmentioning
confidence: 99%