Annals of Mathematics and Artificial Intelligence
Decision making under incomplete data using the imprecise Dirichlet model
International Journal of Approximate Reasoning
Probabilistic abduction without priors
International Journal of Approximate Reasoning
A survey of the theory of coherent lower previsions
International Journal of Approximate Reasoning
Second-order uncertainty calculations by using the imprecise Dirichlet model
Intelligent Data Analysis
International Journal of Approximate Reasoning
Split Criterions for Variable Selection Using Decision Trees
ECSQARU '07 Proceedings of the 9th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
Combining Decision Trees Based on Imprecise Probabilities and Uncertainty Measures
ECSQARU '07 Proceedings of the 9th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
International Journal of Approximate Reasoning
Editorial: The imprecise Dirichlet model
International Journal of Approximate Reasoning
Importance sampling for Bayesian sensitivity analysis
International Journal of Approximate Reasoning
Limits of learning about a categorical latent variable under prior near-ignorance
International Journal of Approximate Reasoning
A new ranking procedure by incomplete pairwise comparisons using preference subsets
Intelligent Data Analysis
Inference from Multinomial Data Based on a MLE-Dominance Criterion
ECSQARU '09 Proceedings of the 10th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
ECSQARU '09 Proceedings of the 10th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
A tree augmented classifier based on Extreme Imprecise Dirichlet Model
International Journal of Approximate Reasoning
Evaluating trust from past assessments with imprecise probabilities: comparing two approaches
SUM'10 Proceedings of the 4th international conference on Scalable uncertainty management
Bagging schemes on the presence of class noise in classification
Expert Systems with Applications: An International Journal
Imprecise probabilities for representing ignorance about a parameter
International Journal of Approximate Reasoning
Bagging decision trees on data sets with classification noise
FoIKS'10 Proceedings of the 6th international conference on Foundations of Information and Knowledge Systems
Correcting binary imprecise classifiers: local vs global approach
SUM'12 Proceedings of the 6th international conference on Scalable Uncertainty Management
On dependence in second-order probability
SUM'12 Proceedings of the 6th international conference on Scalable Uncertainty Management
SUM'12 Proceedings of the 6th international conference on Scalable Uncertainty Management
Verifying dynamic properties of nonlinear mixed-signal circuits via efficient SMT-based techniques
Proceedings of the International Conference on Computer-Aided Design
Expert Systems with Applications: An International Journal
Classification with decision trees from a nonparametric predictive inference perspective
Computational Statistics & Data Analysis
Determining dependence relations using a new score based on imprecise probabilities
Intelligent Data Analysis
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The imprecise Dirichlet model (IDM) was recently proposed by Walley as a model for objective statistical inference from multinomial data with chances @q. In the IDM, prior or posterior uncertainty about @q is described by a set of Dirichlet distributions, and inferences about events are summarized by lower and upper probabilities. The IDM avoids shortcomings of alternative objective models, either frequentist or Bayesian. We review the properties of the model, for both parametric and predictive inferences, and some of its recent applications to various statistical problems.