Researchers Gijs Van Seeventer and colleagues have published a paper on arXiv detailing a new framework for understanding causal effects in stationary stochastic dynamical systems. The work introduces the concept of "edge-sign identifiability," which focuses on determining the sign of drift coefficients rather than the coefficients themselves, relaxing previous assumptions about known diffusion matrices. This approach categorizes edge-sign identifiability into three types: identifiable, non-identifiable, and partially identifiable, with partial identifiability being a novel contribution to the field. The paper provides criteria for identifying these categories and applies them to various causal structures, including cyclic ones, to derive explicit expressions for edge signs. AI
RANK_REASON Academic paper published on arXiv [lever_c_demoted from research: ic=1 ai=0.1]
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