Highly structured models for spectral analysis in high-energy astrophysics

DOI10.1214/088342304000000314zbMath1100.62637OpenAlexW2102600093MaRDI QIDQ2503928

David A. van Dyk, Hosung Kang

Publication date: 22 September 2006

Published in: Statistical Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1214/088342304000000314

zbMATH Keywords

EM algorithmMarkov chain Monte Carlospectral analysismissing datadata augmentationPoisson modelBayesian methodsposterior predictive checksnonignorable missing dataAstrostatisticspileupthe Chandra X-Ray Observatory

Mathematics Subject Classification ID

Bayesian inference (62F15) Applications of statistics to physics (62P35) Statistical astronomy (85A35)

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Cites Work

• Bayesianly justifiable and relevant frequency calculations for the applied statistician
• Posterior predictive \(p\)-values
• Sampling-Based Approaches to Calculating Marginal Densities
• The Calculation of Posterior Distributions by Data Augmentation
• Statistical analysis of finite mixture distributions
• Deconvolution in high-energy astrophysics: science, instrumentation, and methods
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