Deconvolution in high-energy astrophysics: science, instrumentation, and methods

DOI10.1214/06-BA107zbMath1331.85008MaRDI QIDQ5965254

No author found.

Publication date: 2 March 2016

Published in: Bayesian Analysis (Search for Journal in Brave)

Full work available at URL: https://projecteuclid.org/euclid.ba/1340371059

zbMATH Keywords

smoothingMarkov chain Monte Carlocount dataspectral analysisdeconvolutioncensoringimage analysispower lawcontingency tablesprior distributionmeasurement errorslog-linear modelsbackground contaminationChandra X-ray observatorychi square fittingdifferential emission measureEM-type algorithmsfrequency evaluationshardness ratiosHubble space telescopemultiscale methodspoint spread functionPoisson modelsposterior predictive checksRichardson-lucysampling distributionstiming analysis

Mathematics Subject Classification ID

Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Censored data models (62N01) Image analysis in multivariate analysis (62H35) Monte Carlo methods (65C05) Numerical analysis or methods applied to Markov chains (65C40) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08) Applications of statistics to physics (62P35) Statistical astronomy (85A35)

Related Items (6)

Detecting abrupt changes in the spectra of high-energy astrophysical sources ⋮ Computationally efficient estimators for sequential and resolution-limited inverse problems ⋮ Conceptual, computational and inferential benefits of the missing data perspective in applied and theoretical statistical problems ⋮ Objective Frequentist Uncertainty Quantification for Atmospheric \(\mathrm{CO}_2\) Retrievals ⋮ Cross-fertilizing strategies for better EM mountain climbing and DA field exploration: a graphical guide book ⋮ Highly structured models for spectral analysis in high-energy astrophysics

This page was built for publication: Deconvolution in high-energy astrophysics: science, instrumentation, and methods