Statistical unfolding of elementary particle spectra: empirical Bayes estimation and bias-corrected uncertainty quantification
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Publication:902940
DOI10.1214/15-AOAS857zbMath1454.62533arXiv1505.04768OpenAlexW2116545726MaRDI QIDQ902940
Mikael Kuusela, Victor M. Panaretos
Publication date: 4 January 2016
Published in: The Annals of Applied Statistics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1505.04768
bootstrapregularizationPoisson processhigh energy physicsMonte Carlo EM algorithmLarge Hadron ColliderPoisson inverse problem
Related Items (4)
Convergence and Error Propagation Results on a Linear Iterative Unfolding Method ⋮ Objective Frequentist Uncertainty Quantification for Atmospheric \(\mathrm{CO}_2\) Retrievals ⋮ Statistical unfolding of elementary particle spectra: empirical Bayes estimation and bias-corrected uncertainty quantification ⋮ Post hoc Uncertainty Quantification for Remote Sensing Observing Systems
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