Fast Bayes and the dynamic junction forest

摘要: Abstract It has been shown that junction tree algorithms can provide a quick and efficient method for propagating probabilities in complex multivariate problems when they be described by fixed conditional independence structure. In this paper we formalise illustrate with two practical examples how these probabilistic propagation applied to high dimensional processes whose structure, as well their underlying distributions, are augmented through the passage of time.