3 papers
stat.CO2025
Two Bayesian Approaches to Dynamic Gaussian Bayesian Networks with Intra- and Inter-Slice Edges
Kezhuo Li, Marco Grzegorczyk
Gaussian Dynamic Bayesian Networks (GDBNs) are a widely used tool for learning network structures from continuous time-series data. To capture both time-lagged and contemporaneous…
stat.CO2025
A BGe score for tied-covariance mixtures of Gaussian Bayesian networks
Marco Grzegorczyk
Mixtures of Gaussian Bayesian networks have previously been studied under full-covariance assumptions, where each mixture component has its own covariance matrix. We propose a mixt…
cs.LG2025
LUME-DBN: Full Bayesian Learning of DBNs from Incomplete data in Intensive Care
Federico Pirola, Fabio Stella, Marco Grzegorczyk
Dynamic Bayesian networks (DBNs) are increasingly used in healthcare due to their ability to model complex temporal relationships in patient data while maintaining interpretability…