Getting the Right Mix of Experts
Published Online:1 Mar 2008https://doi.org/10.1287/deca.1080.0108
References
- Combining overlapping information. Management Sci. (1987) 33(3):373–380Link, Google Scholar
- Correlations and copulas for decision and risk analysis. Management Sci. (1999) 45(2):208–224Link, Google Scholar
- Combining probability distributions from experts in risk analysis. Risk Anal. (1999) 19(2):187–203Crossref, Google Scholar
- Bayesian density estimation and inference using mixtures. J. Amer. Statist. Assoc. (1995) 90:577–588Crossref, Google Scholar
- Updating belief in the light of someone else's opinion. J. Roy. Statist. Soc. Ser. A (1980) 143:43–48Crossref, Google Scholar
- Consensus of opinion. Eur. J. Oper. Res. (1981) 7:332–340Crossref, Google Scholar
- Markov Chain Monte Carlo: Stochastic Simulation for Bayesian Inference (2006) 2nd ed.(Chapman Hall, Boca Raton, FL) Google Scholar
- , Puri M. L., Ghosh S. Approaches for Bayesian semi-parametric regression. Asymptotics, Nonparametrics, and Time Series: A Tribute to Madan Lal Puri (1999) (Marcel Dekker, New York) 615–638Google Scholar
- Sampling-based approaches to calculating marginal densities. J. Amer. Statist. Soc. (1990) 85(410):398–409Crossref, Google Scholar
- Adaptive rejection sampling for Gibbs sampling. Appl. Statist. (1992) 41:337–348Crossref, Google Scholar
- Markov Chain Monte Carlo in Practice (1995) (Chapman Hall, Boca Raton, FL) Crossref, Google Scholar
- Copula models for aggregating expert opinion. Oper. Res. (1996) 44(3):444–457Link, Google Scholar
- Computation of mixtures of Dirichlet processes. SIAM J. Sci. Statist. Comput. (1986) 7:60–71Crossref, Google Scholar
- Bayesian semi-parametric inference for the accelerated failure time model. Canadian J. Statist. (1997) 25:457–472Crossref, Google Scholar
- Simulation Modeling and Analysis (2001) 3rd ed.(McGraw Hill, New York) Google Scholar
- Reconciliation of probability distributions. Oper. Res. (1983) 31:866–880Link, Google Scholar
- , Bernado J. M., DeGroot M. H., Lindley D. V., Smith A. F. M. Reconciliation of discrete probability distributions. Bayesian Statistics (1985) 2(North Holland, Amsterdam) 375–390Google Scholar
- Bayes estimates for the linear model (with discussion). J. Roy. Statist. Soc. Ser. B (1972) 34:1–41Google Scholar
- Combining expert judgment by hierarchical modeling: An application to physician staffing. Management Sci. (1998) 44(2):149–161Link, Google Scholar
- Estimating normal means with a conjugate-style Dirichlet process prior. Comm. Statist. Part B—Simulation Comput. (1994) 23:727–741Crossref, Google Scholar
- , Dey D., Muller P., Sinha D. Computational methods for mixture of Dirichlet process models. Practical Nonparametric and Semi-Parametric Bayesian Statistics (1998) (Springer, New York) 23–43Crossref, Google Scholar
- , Insua D. R., Ruggeri F. Efficient MCMC schemes for robust model extensions using encompassing Dirichlet process mixture models. Robust Bayesian Analysis (2000) (Springer-Verlag, New York) 295–315Crossref, Google Scholar
- Decision analysis expert use. Management Sci. (1974) 20:1233–1241Link, Google Scholar
- Combining expert judgments: A Bayesian approach. Management Sci. (1977) 23:679–693Link, Google Scholar
- An axiomatic approach to expert resolution. Management Sci. (1983) 29:24–32Link, Google Scholar
- Critique of the current practice for the use of expert opinions in probabilistic risk assessment. Rel. Engrg. System Safety (1988) 20:63–85Crossref, Google Scholar
- Dirichlet process mixed generalized linear models. J. Amer. Statist. Assoc. (1997) 92:633–639Crossref, Google Scholar
- Simple conditions for the convergence of the Gibbs sampler and Metropolis-Hastings algorithms. Stochastic Processes Their Appl. (1994) 49:207–216Crossref, Google Scholar
- Combining probability distributions from dependent information sources. Management Sci. (1981) 27:479–488Link, Google Scholar

