Bayesian sequential Monte Carlo inference is proposed for latent Andersson-Madigan-Perlman Gaussian chain graphs, illustrated on graduation-rate and tenofovir pharmacokinetics data.
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Bayesian Inference for Latent Chain Graphs
Bayesian sequential Monte Carlo inference is proposed for latent Andersson-Madigan-Perlman Gaussian chain graphs, illustrated on graduation-rate and tenofovir pharmacokinetics data.