Combining marginal probability distributions via minimization of weighted sum of Kullback-Leibler divergences
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Publication:648352
DOI10.1016/j.ijar.2011.01.002zbMath1226.68113OpenAlexW2106713642MaRDI QIDQ648352
Publication date: 22 November 2011
Published in: International Journal of Approximate Reasoning (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.ijar.2011.01.002
maximum likelihoodKullback-Leibler divergencecombining probabilitieslinear opinion poolexpert opinions
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Cites Work
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- A characterization theorem for externally Bayesian groups
- Correction of incoherent conditional probability assessments
- Combining probability distributions: A critique and an annotated bibliography
- Modeling expert judgements for Bayesian updating
- Recursive nonlinear estimation. A geometric approach
- Reconciliation of Probability Distributions
- On Divergences and Informations in Statistics and Information Theory
- The Opinion Pool
- Marginalization and Linear Opinion Pools
- Note—On the Aggregation of Individual Probability Estimates
- Decision Analysis Expert Use
- Aggregating Point Estimates: A Flexible Modeling Approach
- On Information and Sufficiency
- A new look at the statistical model identification
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