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Prior elicitation for Bayesian generalised linear models with application to risk control option assessment

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  • Hosack, Geoffrey R.
  • Hayes, Keith R.
  • Barry, Simon C.

Abstract

A pragmatic approach to prior elicitation was developed to elicit the parameters and model structure for Bayesian generalised linear models. Predictive elicitation of subjective probability distributions was used to evaluate Risk Control Option (RCO) effectiveness for reducing the risk of ship collisions in Australia’s Territorial Sea and Exclusive Economic Zone. The RCOs considered were pilotage, Vessel Traffic Services (VTS) and Ships’ Routeing Systems (SRS). Predictive relationships with key covariates were documented. Distance from the Territorial Sea Baseline was important for all RCOs, and aggregate measures of shipping traffic patterns such as volume and the distribution of course over ground headings were related to the effectiveness of both VTS and SRS. A synergistic interaction between pilotage and VTS effectiveness was predicted. The elicitation method enabled a practical approach to eliciting subjective probability distributions while accounting for the complexity and myriad factors that contribute to challenging problems. The approach supports coherent updating given new information, and so can be used to support evidence based decision making.

Suggested Citation

  • Hosack, Geoffrey R. & Hayes, Keith R. & Barry, Simon C., 2017. "Prior elicitation for Bayesian generalised linear models with application to risk control option assessment," Reliability Engineering and System Safety, Elsevier, vol. 167(C), pages 351-361.
    • Handle: RePEc:eee:reensy:v:167:y:2017:i:c:p:351-361
    DOI: 10.1016/j.ress.2017.06.011
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    1. repec:cup:judgdm:v:8:y:2013:i:1:p:25-28 is not listed on IDEAS
    2. Trucco, P. & Cagno, E. & Ruggeri, F. & Grande, O., 2008. "A Bayesian Belief Network modelling of organisational factors in risk analysis: A case study in maritime transportation," Reliability Engineering and System Safety, Elsevier, vol. 93(6), pages 845-856.
    3. Shafiqah Al-Awadhi & Paul Garthwaite, 2006. "Quantifying expert opinion for modelling fauna habitat distributions," Computational Statistics, Springer, vol. 21(1), pages 121-140, March.
    4. Paul H. Garthwaite & Shafeeqah A. Al-Awadhi & Fadlalla G. Elfadaly & David J. Jenkinson, 2013. "Prior distribution elicitation for generalized linear and piecewise-linear models," Journal of Applied Statistics, Taylor & Francis Journals, vol. 40(1), pages 59-75, January.
    5. Garthwaite, Paul H. & Kadane, Joseph B. & O'Hagan, Anthony, 2005. "Statistical Methods for Eliciting Probability Distributions," Journal of the American Statistical Association, American Statistical Association, vol. 100, pages 680-701, June.
    6. Vanem, Erik & Antão, Pedro & Østvik, Ivan & de Comas, Francisco Del Castillo, 2008. "Analysing the risk of LNG carrier operations," Reliability Engineering and System Safety, Elsevier, vol. 93(9), pages 1328-1344.
    7. Mary Kynn, 2008. "The ‘heuristics and biases’ bias in expert elicitation," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 171(1), pages 239-264, January.
    8. Vander Hoorn, Stephen & Knapp, Sabine, 2015. "A multi-layered risk exposure assessment approach for the shipping industry," Transportation Research Part A: Policy and Practice, Elsevier, vol. 78(C), pages 21-33.
    9. Garthwaite, Paul H., 1989. "Fractile assessments for a linear regression model: An experimental study," Organizational Behavior and Human Decision Processes, Elsevier, vol. 43(2), pages 188-206, April.
    10. Unknown, 2001. "Back Matter," SS-AAEA Journal of Agricultural Economics, Agricultural and Applied Economics Association, pages 1-4.
    11. Joseph B. Kadane & Baruch Fischhoff, 2013. "A cautionary note on global recalibration," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 8(1), pages 25-28, January.
    12. Szwed, P. & Dorp, J. Rene van & Merrick, J.R.W. & Mazzuchi, T.A. & Singh, A., 2006. "A Bayesian paired comparison approach for relative accident probability assessment with covariate information," European Journal of Operational Research, Elsevier, vol. 169(1), pages 157-177, February.
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    2. Zhang, Mingyang & Zhang, Di & Fu, Shanshan & Kujala, Pentti & Hirdaris, Spyros, 2022. "A predictive analytics method for maritime traffic flow complexity estimation in inland waterways," Reliability Engineering and System Safety, Elsevier, vol. 220(C).
    3. Rafael Schwarzenegger & John Quigley & Lesley Walls, 2023. "Is eliciting dependency worth the effort? A study for the multivariate Poisson-Gamma probability model," Journal of Risk and Reliability, , vol. 237(5), pages 858-867, October.
    4. Yu-Fang Chien & Haiming Zhou & Timothy Hanson & Theodore Lystig, 2023. "Informative g -Priors for Mixed Models," Stats, MDPI, vol. 6(1), pages 1-23, January.

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