Aggregation of experts' opinions and conditional consensus opinion by the Steiner point
| Autor: | Alain Chateauneuf, Marcello Basili |
|---|---|
| Přispěvatelé: | Dipartimento di Economia Politica e Statistica (DEPS), Università degli Studi di Siena = University of Siena (UNISI), IPAG Business School, Centre d'économie de la Sorbonne (CES), Université Paris 1 Panthéon-Sorbonne (UP1)-Centre National de la Recherche Scientifique (CNRS), Paris School of Economics (PSE), École des Ponts ParisTech (ENPC)-École normale supérieure - Paris (ENS Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université Paris 1 Panthéon-Sorbonne (UP1)-Centre National de la Recherche Scientifique (CNRS)-École des hautes études en sciences sociales (EHESS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE) |
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Distribution (number theory)
Computer science Multiple priors Applied Mathematics Epsilon contamination capacities Conditional probability 02 engineering and technology 16. Peace & justice [SHS.ECO]Humanities and Social Sciences/Economics and Finance Steiner point Theoretical Computer Science Set (abstract data type) Capacities epsilon contamination capacities capacities multiple priors full Bayesian updating Steiner point consensus distribution Artificial Intelligence 020204 information systems Prior probability Consensus distribution 0202 electrical engineering electronic engineering information engineering Probability distribution 020201 artificial intelligence & image processing Full Bayesian updating Mathematical economics Software |
| Zdroj: | International Journal of Approximate Reasoning International Journal of Approximate Reasoning, Elsevier, 2020, 123, pp.17-25. ⟨10.1016/j.ijar.2020.04.005⟩ |
| ISSN: | 0888-613X |
| DOI: | 10.1016/j.ijar.2020.04.005⟩ |
| Popis: | International audience; This paper considers the issue of aggregation of experts' opinions expressed through not necessarily independent and even conflicting probability distributions or multiple priors. The paper addresses the elicitation of the consensus distribution by introducing the Steiner point of the set of all common distributions among experts and derives its conditional probabilities on future events. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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