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What people are saying - Write a reviewWe haven't found any reviews in the usual places. Related booksCommon terms and phrasesassociated assume attributes auditor axiom Bayes decision Bayes rule Bayesian decision Bayesian inference Bayesian network calculate causal Chapter choose clique components conditional independence conditional independence statements conditional probabilities consequences d-separation d-separation theorem DAG G decision analysis decision problem decision rule decision tree defined definition denote depend described difficult Dirichlet discussed DM believes DM needs DM’s utility function edges event tree example expected payoff expected utility fibre find finite first framework Furthermore gamble given graph hyperparameters identified inference judgements likelihood linear marginal likelihood mass function maximising measured Note observed optimal parameters particular possible posterior density posterior distribution predict preferences prior density probabilistic probability forecaster random variables refined reflect reward sample satisfies scenarios score simple situations specification structure subjective probability subtree Suppose suspect symptoms utility function vector vertex vertices whilst Bibliographic information
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