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Bayesian Methods in Cosmology

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If you have a question about this talk, please contact Richard Nickl.

The Cavendish Astrophysics Group employs Bayesian inference methods to analyse cosmological observations. Recent work has focussed on developing new methods for greatly accelerating such analyses, in particular by using neural networks and nested sampling methods. I will give a brief outline of these approaches, which are generic in nature and may therefore be applied beyond cosmology.

This talk is part of the Statistics series.

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