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Regular vines (R‐vines) copulas build high dimensional joint densities from arbitrary one‐dimensional margins and (conditional) bivariate copula densities. Vine densities enable the computation of all conditional distributions, though the calculations can be numerically intensive. Saturated continuous nonparametric Bayes nets (CNPBN) are regular vines. Computing regression functions from the vine...
This responds to an “evaluation” of the classical model for structured expert judgment by Bolger and Rowe in this issue. This response references extensive expert judgment performance data in the public domain which played no role in their evaluation.
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