Characterization of externally Bayesian pooling operators
From MaRDI portal
Publication:1081988
DOI10.1214/aos/1176349934zbMath0602.62005OpenAlexW2095430756MaRDI QIDQ1081988
Christian Genest, Kevin J. McConway, Mark J. Schervish
Publication date: 1986
Published in: The Annals of Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1214/aos/1176349934
characterizationconsensuspooling operatorgroup decision problemexpert opinionslogarithmic poolexternally Bayesiangeometric average of the individual densitiesgroup posterior distributiongroup probability distribution
Bayesian problems; characterization of Bayes procedures (62C10) Foundations and philosophical topics in statistics (62A01)
Related Items
SUPPORT FOR GEOMETRIC POOLING, Further evidence against independence preservation in expert judgement synthesis, A foundational approach to generalising the maximum entropy inference process to the multi-agent context, Data free inference with processed data products, Expert elicitation for reliable system design. (With comments and rejoinder), Stat trek. An interview with Christian Genest, Combining predictive distributions, Reporting Bayes factors or probabilities to decision makers of unknown loss functions, Bayesian revision of a prior given prior-data conflict, expert opinion, or a similar insight: a large-deviation approach, Conditionally externally Bayesian pooling operators in chain graphs, Coherent combination of experts' opinions. (With discussion), Combining expert probabilities using the product of odds, Meta-inductive probability aggregation, Bayesian inference for the weights in logarithmic pooling, How to be imprecise and yet immune to sure loss, Inference after checking multiple Bayesian models for data conflict and applications to mitigating the influence of rejected priors, Optimal probability aggregation based on generalized Brier scoring, Probabilistic opinion pooling with imprecise probabilities, Probabilistic opinion pooling generalized. II: The premise-based approach, Test procedures based on combination of Bayesian evidences for \(H_{0}\), On Bayes's theorem for improper mixtures, Bayesian group belief, Learning and pooling, pooling and learning, How to resolve doxastic disagreement, Democraticop: a democratic way of aggregating Bayesian network parameters