Estimating limits from Poisson counting data using Dempster-Shafer analysis

DOI10.1214/00-AOAS223zbMath1166.62004arXiv0812.1690OpenAlexW3099056632MaRDI QIDQ2270672

Chuanhai Liu, Paul T. Edlefsen, Arthur P. Dempster

Publication date: 29 July 2009

Published in: The Annals of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/0812.1690

zbMATH Keywords

Higgs bosonBayesianevidence theoryPoissonbelief functionhigh-energy physicsDempster-Shafer

Mathematics Subject Classification ID

Foundations and philosophical topics in statistics (62A01) Applications of statistics to physics (62P35)

Related Items (7)

Classification by fiducial predictive density functions ⋮ A Gibbs Sampler for a Class of Random Convex Polytopes ⋮ The EAS approach for graphical selection consistency in vector autoregression models ⋮ Dempster-Shafer theory and statistical inference with weak beliefs ⋮ Estimating limits from Poisson counting data using Dempster-Shafer analysis ⋮ Discussion of ``On the Birnbaum argument for the strong likelihood principle ⋮ Multigranulation information fusion: a Dempster-Shafer evidence theory-based clustering ensemble method

Uses Software

• genlimit

Cites Work

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• A mathematical theory of hints. An approach to the Dempster-Shafer theory of evidence
• The Dempster-Shafer calculus for statisticians
• Estimating limits from Poisson counting data using Dempster-Shafer analysis
• On the plausibility transformation method for translating belief function models to probability models
• Computational aspects of the Mobius transformation of graphs
• Theory of evidence ? A survey of its mathematical foundations, applications and computational aspects
• Upper and Lower Probabilities Induced by a Multivalued Mapping
• Upper and Lower Probabilities Generated by a Random Closed Interval

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