most citedScalable Structure Learning of Continuous-Time Bayesian Networks from Incomplete Data

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Scalable Structure Learning of Continuous-Time Bayesian Networks from Incomplete Data

Dominik Linzner, Michael Schmidt, Heinz Koeppl

Continuous-time Bayesian Networks (CTBNs) represent a compact yet powerful framework for understanding multivariate time-series data. Given complete data, parameters and structure…