On computations with causal compositional models

Compositional models, Bayesian models and recursive factorization models

“…Compositional models of sequential type [2,4,5,6,8,9] were originally introduced to construct probability distributions from lower-order probability distributions as an operational alternative to Bayesian models [3] (also called "directed Markov models" [16]). Compositional models were also applied to belief functions [7,11,12], possibility functions [11] and Shenoy valuations [10].…”