Structural equation models of latent interactions: evaluation of alternative estimation strategies and indicator construction
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New algorithm tackles causal discovery with latent confounders
Researchers have developed a new algorithm for causal discovery that can identify causal relationships among observed variables even when latent confounders are present. The algorithm works by reconstructing the precisi…
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New research tackles identifiability in mixed-distribution causal DAGs
A new research paper published on arXiv explores the identifiability of causal directed acyclic graphs (DAGs) within linear parametric models. The study focuses on scenarios where nodes in the DAG follow either an order…