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| Paper: |
Bayesian Techniques for Inference |
| Volume: |
437, Solar Polarization Workshop 6 |
| Page: |
135 |
| Authors: |
Asensio Ramos, A. |
| Abstract: |
I summarize the tools of Bayesian theory for inference that are recently being applied to
extract information from spectro-polarimetric data obtained with the most
advanced instruments. I present the machinery to carry out inference, model comparison
and model averaging, together with some illustrative examples, with the hope that the power of
these techniques help us solve some of the problems inherent to the inference of the physical
properties of the solar plasma from noisy spectro-polarimetric observations. |
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