Bayesian modelling of variability in expert to expert opinion using parallel Monte Carlo methods
نویسندگان
چکیده
This paper presents a Bayesian approach, using parallel Monte Carlo modelling algorithms for combining expert judgements when there is inherent variability amongst these judgements. The proposed model accounts for the situation when the derivative method for finding the maximum likelihood breaks down.
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