Multilevel Bayesian framework for modeling the production, propagation and detection of ultra-high energy cosmic rays

DOI10.1214/13-AOAS654zbMath1454.62536arXiv1206.4569OpenAlexW3105757773MaRDI QIDQ386711

Kunlaya Soiaporn, Ira Wasserman, David Ruppert, Thomas J. Loredo, David F. Chernoff

Publication date: 10 December 2013

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

Full work available at URL: https://arxiv.org/abs/1206.4569

zbMATH Keywords

Bayes factorsdirectional dataactive galactic nucleihierarchical BayesastrostatisticsChib's methodcoincidence assessmentcosmic raysFisher distributionmultilevel modeling

Mathematics Subject Classification ID

Bayesian inference (62F15) Applications of statistics to physics (62P35)

Related Items (1)

Multilevel Bayesian framework for modeling the production, propagation and detection of ultra-high energy cosmic rays

Cites Work

• Unnamed Item
• Multilevel Bayesian framework for modeling the production, propagation and detection of ultra-high energy cosmic rays
• α-Stable Limit Laws for Harmonic Mean Estimators of Marginal Likelihoods
• Marginal Likelihood from the Gibbs Output
• Bayes Factors

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