Bernardo, J. and Smith, A. (1994) Bayesian Theory. Wiley, Chichester.
Blum, P., Dias, A. and Embrechts, P. (2002) The art of dependence modelling: the latest advances in correlation analysis. In Lane, M., editor, Alternative Risk Strategies, pages 339–356. Risk Books, London.
Böcker, K., Crimmi, A. and Fink, H. (2010) Bayesian risk aggregation: Correlation uncertainty and expert judgement. In Böcker, K., editor, Rethinking Risk Measurement and Reporting Uncertainty. RiskBooks, London.
Bühlmann, H. and Gisler, A. (2005) A Course in Credibility Theory and its Applications. Springer, Berlin.
CEIOPS (2010) QIS5 Technical Specifications. Technical report, Committee of European Insurance and Occupational Pensions Supervisors.
Clemen, R., Fischer, G. and Winkler, R. (2000) Assessing dependence: Some experimental results. Management Science, 46(8), 1100–1115.
Clemen, R. and Winkler, R. (1999) Combining probability distributions from experts in risk analysis. Risk Analysis, 19(2), 187–203.
Cooke, R. (1991) Experts in Uncertainty: Opinion and Subjective Probability in Science. Oxford University Press, New York.
Cooke, R. and Goossens, L. (2000) Procedures guide for structural expert judgement in accident consequence modelling. Radiation Protection Dosimetry, 90(3), 303–309.
Cooke, R., Mendel, M. and Thijs, W. (1988) Calibration and information in expert resolution. Auto-matica, 24(1), 87–94.
Donnelly, C. and Embrechts, P. (2010) The devil is in the tails: actuarial mathematics and the sub-prime mortgage crisis. ASTIN Bulletin, 40(1), 1–33.
Eddy, D. (1982) Probabilistic reasoning in clinical medicine: Problems and opportunities. In Kahneman, D., Slovic, P., and Tversky, A., editors, Judgment under uncertainty: Heuristics and biases, pages 249–267. Cambridge University Press, Cambridge.
Embrechts, P., McNeil, A. and Straumann, D. (2002) Correlation and dependence in risk management: Properties and pitfalls. In Dempster, M., editor, Risk Management: Value at Risk and Beyond, pages 176–223. Cambridge University Press, Cambridge.
FOPI (2006) Technical document on the Swiss Solvency Test. Technical report, Swiss Federal Office of Private Insurance.
Genest, C., Gendron, M. and Bourdeau-Brien, M. (2009) The advent of copulas in finance. The European Journal of Finance, 15(7–8), 609–618.
Gokhale, D. and Press, S. (1982) Assessment of a prior distribution for the correlation coefficient in a bivariate normal distribution. Journal of the Royal Statistical Society, Series A, 145, 237–249.
Hall, J. (2010) The Total Cost of Fire in the United States. National Fire Protection Association, Quincy, Massachusetts.
Haug, S., Klüppelberg, C. and Peng, L. (2011) Statistical models and methods for dependence in insurance data. Journal of the Korean Statistical Society, 40, 125–139.
Hofert, M. (2010) Sampling Nested Archimedean Copulas with Applications to CDO Pricing. PhD thesis, University of Ulm.
Jouini, M. and Clemen, R. (1996) Copula models for aggregating expert opinions. Operations Research, 44(3), 444–57.
Kahneman, D. and Tversky, A. (1973) On the psychology of prediction. Psychological review, 80(4), 237–251.
Kahneman, D. and Tversky, A. (1982) On the study of statistical intuitions. Cognition, 11, 123–141.
Kallen, M. and Cooke, R. (2002) Expert aggregation with dependence. In Probabilistic Safety Assessment and Management, pages 1287–1294. International Association for Probabilistic Safety Assessment and Management.
Kynn, M. (2008) The “heuristics and biases” bias in expert elicitation. Journal of the Royal Statistical Society: Series A (Statistics in Society), 171(1), 239–264.
Lambrigger, D., Shevchenko, P. and Wüthrich, M. (2007) The quantification of operational risk using internal data, relevant external data and expert opinions. Journal of Operational Risk, 2(3), 3–27.
McNeil, A., Frey, R. and Embrechts, P. (2005) Quantitative Risk Management: Concepts, Techniques, Tools. Princeton University Press, Princeton.
Meyer, M. and Booker, J. (2001) Eliciting and Analyzing Expert Judgment: A Practical Guide. Society for Industrial and Applied Mathematics, Philadelphia.
Morgan, M. and Henrion, M. (1992) Uncertainty: A Guide to Dealing With Uncertainty in Quantitative Risk and Policy Analysis. Cambridge University Press, Cambridge.
Mosleh, A., Bier, V. and Apostolakis, G. (1988) A critique of current practice for the use of expert opinions in probabilistic risk assessment. Reliability Engineering and system safety, 20(1), 63–85.
Nelsen, R. (2006) An Introduction to Copulas. Springer, New York, 2nd edition.
O'Hagan, A., Buck, C., Daneshkhah, A., Eiser, J., Garthwaite, P., Jenkinson, D., Oakley, J. and Rakow, T. (2006) Uncertain Judgements: Eliciting Experts' Probabilities. Wiley, Chichester.
Ouchi, F. (2004) A literature review on the use of expert opinion in probabilistic risk analysis. Working Paper 3201, World Bank Policy Research.
Price, H. and Manson, A. (2002) Uninformative priors for Bayes' theorem. Bayesian Inference and Maximum Entropy Methods in Science and Engineering, 617(1), 379–391.
Robert, C. and Casella, G. (2005) Monte Carlo Statistical Methods. Springer, New York.
Van der Vaart, A. (1998) Asymptotic Statistics. Cambridge University Press, Cambridge.
Winkler, R. (1968) The consensus of subjective probability distributions. Management Science, 15, B61–B75.