Inference of Causal Networks using a Topological Threshold

arXiv:2404.14460v1 Announce Type: cross
Abstract: We propose a constraint-based algorithm, which automatically determines causal relevance thresholds, to infer causal networks from data. We call these topological thresholds. We present two methods for determining the threshold: the first seeks a set of edges that leaves no disconnected nodes in the network; the second seeks a causal large connected component in the data.
We tested these methods both for discrete synthetic and real data, and compared the results with those obtained for …

abstract algorithm arxiv call causal cs.lg data inference network networks nodes set stat.me stat.ml threshold type