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<p>Probabilistic expert systems based on Bayesian networks require initial specification of both qualitative graphical structure and quantitative conditional probability assessments. As (possibly incomplete) data accumulate on real cases, the parameters of the system may adapt, but it is also essential that the initial specifications be monitored with respect to their predictive performance. A range of monitors based on standardized scoring rules that are designed to detect both qualitative and quantitative departures from the specified model is presented. A simulation study demonstrates the efficacy of these monitors at uncovering such departures.</p>
sequential model criticism; probabilistic expert systems; Bayesian networks; qualitative graphical structure; quantitative conditional probability assessments; scoring rules; Bayes methods; expert systems; probabilistic logic
D.J. Spiegelhalter, A.P. Dawid, R.G. Cowell, "Sequential Model Criticism in Probabilistic Expert Systems", IEEE Transactions on Pattern Analysis & Machine Intelligence, vol. 15, no. , pp. 209-219, March 1993, doi:10.1109/34.204903
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