3 papers
stat.ML2026
MARCEDES: Score-based causal discovery under non-Gaussianity with continuous optimization
Anamitra Chaudhuri, Anirban Bhattacharya, Yang Ni
We consider the problem of learning the underlying causal directed acyclic graph (DAG) structure corresponding to a structural equation model (SEM) with non-Gaussian errors. Motiva…
math.ST2025
Consistent Bayesian causal discovery for structural equation models with equal error variances
Anamitra Chaudhuri, Yang Ni, Anirban Bhattacharya
We consider the problem of recovering the true causal structure among a set of variables, generated by a linear acyclic structural equation model (SEM) with the error terms being i…
math.ST2025
Consistent DAG selection for Bayesian causal discovery under general error distributions
Anamitra Chaudhuri, Anirban Bhattacharya, Yang Ni
We consider the problem of learning the underlying causal structure among a set of variables, which are assumed to follow a Bayesian network or, more specifically, a linear recursi…