Whose Judgement? Reflections on Elicitation in Bayesian Analysis

Published Online:https://doi.org/10.1287/deca.2023.0073

References

  • Arrow KJ (1963) Social Choice and Individual Values, 2nd ed. (Yale University Press, New Haven, CT).Google Scholar
  • Aven T (2003) Foundation of Risk Analysis: A Knowledge and Decision Oriented Perspective (John Wiley & Sons, Hoboken, NJ).CrossrefGoogle Scholar
  • Aven T (2016) Risk assessment and risk management: Review of recent advances on their foundation. Eur. J. Oper. Res. 253(1):1–13.CrossrefGoogle Scholar
  • Aven T, Thekdi S (2021) Risk Science: An Introduction (Routledge, Abingdon, UK).CrossrefGoogle Scholar
  • Barker G, Bayley C, Cassidy A, French S, Hart A, Malakar P, Maule J, Petkov M, Shepherd R (2010) Can a participatory approach contribute to food chain risk analysis? Risk Anal. 30(5):766–781.CrossrefGoogle Scholar
  • Barons MJ, Wright SK, Smith JQ (2018) Eliciting probabilistic judgements for integrating decision support systems. Dias LC, Morton A, Quigley J, eds. Elicitation: The Science and Art of Structuring Judgement (Springer, Cham, Switzerland), 445–478.CrossrefGoogle Scholar
  • Bennett PG, Calman KC, eds. (1999) Risk Communication and Public Health: Policy Science and Participation (Oxford University Press, Oxford, UK).Google Scholar
  • Bennett PG, Calman KC, Curtis S, Fischbacher-Smith D, eds. (2010) Risk Communication and Public Health, 2nd ed. (Oxford University Press, Oxford, UK).CrossrefGoogle Scholar
  • Berger JO (2006) The case for objective Bayesian analysis. Bayesian Anal. 1(3):385–402.CrossrefGoogle Scholar
  • Berger JO (2013) Statistical Decision Theory and Bayesian Analysis (Springer, New York).Google Scholar
  • Boulesteix AL, Hoffmann S, Charlton A, Seibold H (2020) A replication crisis in methodological research? Significance 17(5):18–21.CrossrefGoogle Scholar
  • Bousquet N (2024) Discussion of “Specifying prior distributions in reliability applications”: Toward new formal rules for informative prior elicitation? Appl. Stochastic Models Bus. Indust. 40(1):92–102.CrossrefGoogle Scholar
  • Box GEP, Taio GC (1973) Bayesian Inference in Statistical Analysis (Addison-Wesley, Boston).Google Scholar
  • Brownstein NC, Louis TA, O’Hagan A, Pendergast J (2019) The role of expert judgment in statistical inference and evidence-based decision-making. Amer. Statist. 73(Suppl 1):56–68.CrossrefGoogle Scholar
  • Collazo R, Görgen C, Smith JQ (2018) Chain Event Graphs (Taylor & Francis, Abingdon-on-Thames, UK).CrossrefGoogle Scholar
  • Consonni G, Fouskakis D, Liseo B, Ntzoufras I (2018) Prior distributions for objective Bayesian analysis. Bayesian Anal. 13(2):627–679.CrossrefGoogle Scholar
  • Constable AJ, French S, Karoblyte V, Viner D (2022) Decision-making for managing climate-related risks: Unpacking the decision process to avoid “trial-and-error” responses. Frontiers Climate 4:754264.Google Scholar
  • De Finetti B (1974) Theory of Probability, vol. 1 (John Wiley & Sons, Hoboken, NJ).Google Scholar
  • De Finetti B (1975) Theory of Probability, vol. 2 (John Wiley & Sons, Hoboken, NJ).Google Scholar
  • DeGroot MH (1970) Optimal Statistical Decisions (McGraw-Hill, New York).Google Scholar
  • Dias L, Morton A, Quigley J, eds. (2018) Elicitation of Preferences and Uncertainty: Processes and Procedures (Springer, Cham, Switzerland).Google Scholar
  • Doganaksoy N, Rigdon SE (2024) Discussion of “Specifying prior distributions in reliability applications,” by Qinglong Tian, Colin Lewis‐Beck, Jarad B. Niemi, and William Meeker. Appl. Stochastic Models Bus. Indust. 40(1):104–107.CrossrefGoogle Scholar
  • European Food Safety Authority (2014) Guidance on expert knowledge elicitation in food and feed safety risk assessment. EFSA J. 12(6):3734–4012.CrossrefGoogle Scholar
  • Falconer JR, Frank E, Polaschek DL, Joshi C (2022) Methods for eliciting informative prior distributions: A critical review. Decision Anal. 19(3):189–204.LinkGoogle Scholar
  • Franco LA, Montibeller G (2010) Facilitated modelling in operational research. Eur. J. Oper. Res. 205(3):489–500.CrossrefGoogle Scholar
  • French S (1986) Decision Theory: An Introduction to the Mathematics of Rationality (Ellis Horwood, Chichester, UK).Google Scholar
  • French S (1995) Uncertainty and imprecision: Modelling and analysis. J. Oper. Res. Soc. 46(1):70–79.CrossrefGoogle Scholar
  • French S (2003) Modelling, making inferences and making decisions: The roles of sensitivity analysis. Trans. Oper. Res. 11(2):229–252.Google Scholar
  • French S (2007) Web-enabled strategic GDSS, e-democracy and Arrow’s theorem: A Bayesian perspective. Decision Support Systems 43(4):1476–1484.CrossrefGoogle Scholar
  • French S (2015) Cynefin: Uncertainty, small worlds and scenarios. J. Oper. Res. Soc. 66(10):1635–1645.CrossrefGoogle Scholar
  • French S (2021) From soft to hard elicitation. J. Oper. Res. Soc. 73(6):1181–1197.CrossrefGoogle Scholar
  • French S (2022) Axiomatising the Bayesian paradigm in parallel small worlds. Oper. Res. 70(3):1342–1358.LinkGoogle Scholar
  • French S (2023) Reflections on 50 years of MCDM: Issues and future research needs. EURO J. Decision Processes 11:100030.CrossrefGoogle Scholar
  • French S, Argyris N (2018) Decision analysis and political processes. Decision Anal. 15(4):208–222.LinkGoogle Scholar
  • French S, Rios Insua D (2000) Statistical Decision Theory (Arnold, London).Google Scholar
  • French S, Maule AJ, Mythen G (2005) Soft modelling in risk communication and management: Examples in handling food risk. J. Oper. Res. Soc. 56(8):879–888.CrossrefGoogle Scholar
  • French S, Maule AJ, Papamichail KN (2009) Decision Behaviour, Analysis and Support (Cambridge University Press, Cambridge, UK).CrossrefGoogle Scholar
  • Gelman A, Carlin JB, Stern HS, Dunson DB, Vehtari A, Rubin DB (2013) Bayesian Data Analysis, 3rd ed. (Chapman & Hall, Boca Raton, FL).CrossrefGoogle Scholar
  • Gibbard A (1973) Manipulation of voting schemes: A general result. Econometrica 41(4):587–601.CrossrefGoogle Scholar
  • Goldstein M, Rougier JC (2009) Reified Bayesian modelling and inference for physical systems (with discussion). J. Statist. Planning Inference 139(3):1221–1256.CrossrefGoogle Scholar
  • Gregory RS, Failing L, Harstone M, Long G, McDaniels T, Ohlson D (2013) Structured Decision Making: A Practical Guide to Environmental Management Choices (John Wiley, Hoboken, NJ).Google Scholar
  • Hand DJ (2020) Dark Data (Princeton University Press, Princeton, NJ).Google Scholar
  • Hanea A, Nane GF, Bedford T, French S (2021) Expert Judgement in Risk and Decision Analysis (Springer, Cham, Switzerland).CrossrefGoogle Scholar
  • Hennig P, Osborne MA, Girolami M (2015) Probabilistic numerics and uncertainty in computations. Proc. Roy. Soc. A 471(2179):20150142.Google Scholar
  • Keeney RL (1992) Value-Focused Thinking: A Path to Creative Decision Making (Harvard University Press, Boston).Google Scholar
  • Keeney RL (2012) Value-focused brainstorming. Decision Anal. 9(4):303–313.LinkGoogle Scholar
  • Keeney RL, Raiffa H (1976) Decisions with Multiple Objectives: Preferences and Value Tradeoffs, 1st ed. (John Wiley & Sons, Hoboken, NJ).Google Scholar
  • Keeney RL, Raiffa H (1993) Decisions with Multiple Objectives: Preferences and Value Tradeoffs, 2nd ed. (Cambridge University Press, Cambridge, UK).CrossrefGoogle Scholar
  • Kelly FS (1978) Arrow Impossibility Theorems (Academic Press, Cambridge, MA).Google Scholar
  • Kunreuther H, Meyer RJ, Michel-Kerjan EO (2019) The Future of Risk Management (University of Pennsylvania Press, Philadelphia).CrossrefGoogle Scholar
  • Leamer EE (1978) Specification Searches (John Wiley & Sons, Hoboken, NJ).Google Scholar
  • Leonelli M, Smith JQ (2015) Bayesian decision support for complex systems with many distributed experts. Ann. Oper. Res. 235(1):517–542.CrossrefGoogle Scholar
  • Marchau V, Walker WE, Bloemen P, Popper S, eds. (2019) Decision Making Under Deep Uncertainty (Springer, Cham, Switzerland).CrossrefGoogle Scholar
  • Maskin E, Sen A (2014) The Arrow Impossibility Theorem (Columbia University Press, New York).CrossrefGoogle Scholar
  • Mikkola P, Martin OA, Chandramouli S, Hartmann M, Pla OA, Thomas O, Pesonen H, et al. (2021) Prior knowledge elicitation: The past, present, and future. Preprint, submitted December 1, https://arxiv.org/abs/2112.01380.Google Scholar
  • Montibeller G, Gummer H, Tumidei D (2006) Combining scenario planning and multi-criteria decision analysis in practice. J. Multi-Criteria Decision Anal. 14(1–3):5–20.CrossrefGoogle Scholar
  • Morton A, Airoldi M, Phillips LD (2009) Nuclear risk management on stage: A decision analysis perspective on the UK’s Committee on Radioactive Waste Management. Risk Anal. 29(5):764–779.CrossrefGoogle Scholar
  • Mustajoki J, Saarikoski H, Belton V, Hjerppe T, Marttunen M (2020) Utilizing ecosystem service classifications in multi-criteria decision analysis—Experiences of peat extraction case in Finland. Ecosystem Services 41:101049.CrossrefGoogle Scholar
  • O’Hagan A (2019) Expert knowledge elicitation: Subjective but scientific. Amer. Statist. 73(Suppl 1):69–81.CrossrefGoogle Scholar
  • O’Hagan A, Forster J (2004) Bayesian Statistics, vol. 2b (Edward Arnold, London).Google Scholar
  • Osborne MJ (2003) An Introduction to Game Theory (Oxford University Press, Oxford, UK).Google Scholar
  • Peterson TR, Thompson JL (2020) Environmental risk communication: Responding to challenges of complexity and uncertainty. Handbook of Risk and Crisis Communication (Routledge, Abingdon, UK), 591–606.CrossrefGoogle Scholar
  • Phillips LD (1984) A theory of requisite decision models. Acta Psychol. 56(1–3):29–48.CrossrefGoogle Scholar
  • Phillips LD (2007) Decision conferencing. Edwards W, Miles RF, von Winterfeldt D, eds. Advances in Decision Analysis: From Foundations to Applications (Cambridge University Press, Cambridge, UK), 375–399.CrossrefGoogle Scholar
  • Phillips LD (2011) Group dynamics processes for improved decision making. Cochran JJ, Cox Jr LA, Keskinocak P, Kharoufeh JP, Smith JC, eds. Wiley Encyclopedia of Operations Research and Management Science (John Wiley & Sons, Hoboken, NJ).CrossrefGoogle Scholar
  • Raiffa H (1968) Decision Analysis: Introductory Lectures on Choice under Uncertainty (Addison-Wesley, Reading, MA).Google Scholar
  • Raiffa H, Richardson J, Metcalfe D (2002) Negotiation Analysis: The Science and Art of Collaborative Decision Making (Harvard University Press, Boston).Google Scholar
  • Ramsey FP (1926) Truth and probability. Braithwaite RB, ed. The Foundations of Mathematics and Other Logical Essays (Harcourt Brace and Co., London).Google Scholar
  • Rios Insua D, ed. (1999) Special issue: Sensitivity analysis in MCDA. J. Multi-Criteria Decision Anal. 8(3):117–187.Google Scholar
  • Rios Insua D, Ruggeri F (2000) Robust Bayesian Analysis (Springer, London).CrossrefGoogle Scholar
  • Satterthwaite MA (1975) Strategy-proofness and Arrow’s conditions: Existence and correspondence theorems for voting procedures and social welfare functions. J. Econom. Theory 10(2):187–217.CrossrefGoogle Scholar
  • Savage LJ (1972) The Foundations of Statistics, 2nd ed. (Dover, New York).Google Scholar
  • Sen A (2017) Collective Choice and Social Welfare, expanded ed. (Penguin, London).Google Scholar
  • Shafer G (1986) Savage revisited. Statist. Sci. 1(4):463–485.CrossrefGoogle Scholar
  • Shepherd R, Barker G, French S, Hart A, Maule J, Cassidy A (2006) Managing food chain risks: Integrating technical and stakeholder perspectives on uncertainty. J. Agricultural Econom. 57(2):313–327.CrossrefGoogle Scholar
  • Singpurwalla ND (2006) Reliability and Risk: A Bayesian Perspective (John Wiley & Sons, Hoboken, NJ).CrossrefGoogle Scholar
  • Smith JQ (2010) Bayesian Decision Analysis: Principles and Practice (Cambridge University Press, Cambridge, UK).CrossrefGoogle Scholar
  • Stewart TJ, French S, Rios J (2013) Integration of multicriteria decision analysis and scenario planning. Omega 41(4):679–688.CrossrefGoogle Scholar
  • Stewart TJ, Joubert A, Janssen R (2010) MCDA framework for fishing rights allocation in South Africa. Group Decision Negotiation 19(3):247–265.CrossrefGoogle Scholar
  • Tian Q, Lewis‐Beck C, Niemi JB, Meeker WQ (2024) Specifying prior distributions in reliability applications. Appl. Stochastic Models Bus. Indust. 40(1):5–62.CrossrefGoogle Scholar
  • Turkman MAA, Paulino CD, Müller P (2019) Computational Bayesian Statistics: An Introduction (Cambridge University Press, Cambridge, UK).CrossrefGoogle Scholar
  • Vernon I, Gosling JP (2023) A Bayesian computer model analysis of robust Bayesian analyses. Bayesian Anal. 18(4):1367–1399.CrossrefGoogle Scholar
  • Wasserstein RL, Lazar NA (2016) The ASA statement on p-values: Context, process, and purpose. Amer. Statist. 70(2):129–133.CrossrefGoogle Scholar
  • Williamson D, Goldstein M (2015) Posterior belief assessment: Extracting meaningful subjective judgements from Bayesian analyses with complex statistical models. Bayesian Anal. 10(4):877–908.CrossrefGoogle Scholar
INFORMS site uses cookies to store information on your computer. Some are essential to make our site work; Others help us improve the user experience. By using this site, you consent to the placement of these cookies. Please read our Privacy Statement to learn more.