Bayesian Parameter Estimation: A Monte Carlo Approach

  • Authors:

  • Ray Gallagher;Tony Doran

  • Affiliations:

  • -;-

  • Venue:
  • ICCS '01 Proceedings of the International Conference on Computational Sciences-Part I
  • Year:
  • 2001

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Abstract

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.