Applications of Metropolis-Hastings Algorithm to Solar Astrophysical Data

Details Applications of Metropolis-Hastings Algorithm to Solar Astrophysical Data Applications of Metropolis-Hastings Algorithm to Solar Astrophysical Data

Nov 2007

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2007aspc..371..401a&link_type=abstract

Statistical Challenges in Modern Astronomy IV ASP Conference Series, Vol. 371, proceedings of the conference held 12-15 June 200

Astronomy and Astrophysics

Astronomy

1

Scientific paper

In this work, we employ MCMC methods within a Bayesian framework to further our understanding of hydrostatic model comparison with the observed temperature and density structure along solar coronal loops. We review current approaches to assessing coronal loop heating processes, present our procedure using the MH algorithm and describe how this can be used for model adequacy and comparison purposes with respect heating function in these loops.

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