Statistical Inference from Ill-known Data Using Belief Functions

DOI10.1007/978-3-642-35443-4_3zbMath1322.62054OpenAlexW2235644182MaRDI QIDQ2950556

Thierry Denoeux

Publication date: 9 October 2015

Published in: Uncertainty Analysis in Econometrics with Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-642-35443-4_3

Mathematics Subject Classification ID

Applications of statistics to economics (62P20) Foundations and philosophical topics in statistics (62A01) Reasoning under uncertainty in the context of artificial intelligence (68T37)

Cites Work

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• Maximum likelihood estimation from fuzzy data using the EM algorithm
• Allocations of probability
• A linear regression model for imprecise response
• Learning from partially supervised data using mixture models and belief functions
• Extending stochastic ordering to belief functions on the real line
• Possibility theory and statistical reasoning
• Constructive probability
• Belief function representations of statistical evidence
• Resolving misunderstandings about belief functions
• Fuzzy sets as a basis for a theory of possibility
• Belief functions: The disjunctive rule of combination and the generalized Bayesian theorem
• The transferable belief model
• Statistical inference in science
• Econometrics and empirical economics. (With comments)
• Belief functions on real numbers
• On the Foundations of Statistical Inference
• Belief functions and statistical inference
• The entailment principle for dempster—shafer granules
• An Introduction to Random Sets
• Upper and Lower Probabilities Induced by a Multivalued Mapping
• New Methods for Reasoning Towards Posterior Distributions Based on Sample Data
• Upper and Lower Probabilities Generated by a Random Closed Interval
• Connecting Dempster-Shafer belief functions with likelihood-based inference