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math.ST2025
Causal Discovery for Linear Non-Gaussian Models with Disjoint Cycles
Mathias Drton, Marina Garrote-López, Niko Nikov +2
The paradigm of linear structural equation modeling readily allows one to incorporate causal feedback loops in the model specification. These appear as directed cycles in the commo…
math.ST2025
Causal Structure Learning in Directed, Possibly Cyclic, Graphical Models
Pardis Semnani, Elina Robeva
We consider the problem of learning a directed graph from observational data. We assume that the distribution which gives rise to the samples is Markov and faithful to th…