Decision making under incomplete data using the imprecise Dirichlet model
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Publication:881803
DOI10.1016/j.ijar.2006.07.016zbMath1118.68159OpenAlexW2142564623MaRDI QIDQ881803
Publication date: 18 May 2007
Published in: International Journal of Approximate Reasoning (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.ijar.2006.07.016
decision makingincomplete dataimprecise probabilitiesbelief functionscoarse dataimprecise Dirichlet modelinterval probability\(E\)-admissibilityinterval statistical modelsmissing or set-valued statistical data
Related Items (10)
Partially identified prevalence estimation under misclassification using the kappa coefficient ⋮ Concepts for decision making under severe uncertainty with partial ordinal and partial cardinal preferences ⋮ Adaptive selection of extra cutpoints -- towards reconciling robustness and interpretability in classification trees ⋮ The imprecise Dirichlet model for multilevel system reliability ⋮ Fuzzy logic-based generalized decision theory with imperfect information ⋮ Statistical modeling under partial identification: distinguishing three types of identification regions in regression analysis with interval data ⋮ An interval-valued reliability model with bounded failure rates ⋮ A nonparametric predictive alternative to the imprecise Dirichlet model: the case of a known number of categories ⋮ Probabilistic abduction without priors ⋮ Estimation of classification probabilities in small domains accounting for nonresponse relying on imprecise probability
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