Eliciting Dirichlet and Connor-Mosimann prior distributions for multinomial models
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Publication:384762
DOI10.1007/s11749-013-0336-4zbMath1367.62067OpenAlexW2062335898MaRDI QIDQ384762
Paul H. Garthwaite, Fadlalla G. Elfadaly
Publication date: 28 November 2013
Published in: Test (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s11749-013-0336-4
Dirichlet distributionprior distributionmultinomial modelConnor-Mosimann distributionelicitation methodinteractive graphical software
Related Items (8)
Recent Advances in the Elicitation of Uncertainty Distributions from Experts for Multinomial Probabilities ⋮ Specification of informative prior distributions for multinomial models using vine copulas ⋮ Subjective elicitation of hyperparameters of a conjugate Dirichlet prior and the corresponding Bayes analysis ⋮ Hybrid elicitation and quantile-parametrized likelihood ⋮ Eliciting Dirichlet and Gaussian copula prior distributions for multinomial models ⋮ Expert judgement for dependence in probabilistic modelling: a systematic literature review and future research directions ⋮ Modelling the Flow of Character Recognition Results in Video Stream ⋮ Checking for model failure and for prior-data conflict with the constrained multinomial model
Uses Software
Cites Work
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- Generalized Dirichlet distribution in Bayesian analysis
- Mixtures of Dirichlet distributions and estimation in contingency tables
- Dependence Properties of Generalized Liouville Distributions on the Simplex
- Some properties of the dirichlet-multinomial distribution and its use in prior elicitation
- Uncertain Judgements: Eliciting Experts' Probabilities
- Concepts of Independence for Proportions with a Generalization of the Dirichlet Distribution
- Statistical Methods for Eliciting Probability Distributions
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