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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…