Mapping electron density in the ionosphere: a principal component MCMC algorithm

DOI10.1016/J.CSDA.2010.04.029zbMath1247.62307OpenAlexW1964246085MaRDI QIDQ452582

Christopher Jennison, Eman Khorsheed, Merrilee A. Hurn

Publication date: 15 September 2012

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2010.04.029

zbMATH Keywords

Markov chain Monte Carlotomographyinversionprincipal componentsBayesian modellingionospheric mapping

Mathematics Subject Classification ID

Factor analysis and principal components; correspondence analysis (62H25) Bayesian inference (62F15) Numerical analysis or methods applied to Markov chains (65C40) Applications of statistics to physics (62P35) Astronomy and astrophysics (85A99)

Uses Software

• GMRFLib

Cites Work

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• Approximate Bayesian Inference for Latent Gaussian models by using Integrated Nested Laplace Approximations
• On Block Updating in Markov Random Field Models for Disease Mapping
• The absorption and dissociative or ionizing effect of monochromatic radiation in an atmosphere on a rotating earth
• Gaussian Markov Random Fields

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