2 citations · 2 across the 4 of their papers we have counts for
4 papers
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…
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…
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…
Targeting Bayes factors with direct-path non-equilibrium thermodynamic integration
Marco Grzegorczyk, Andrej Aderhold, Dirk Husmeier
Thermodynamic integration (TI) for computing marginal likelihoods is based on an inverse annealing path from the prior to the posterior distribution. In many cases, the resulting e…