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Cosmological Nested Sampling (to be used with cosmomc)

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Cosmonest is an algorithm for calculating the model likelihood (or "Evidence") in a Bayesian framework. It is based on an original concept by John Skilling. It was developed as a code by Pia Mukherjee, David Parkinson and Andrew R. Liddle.

The algorithm and its implementation, together with some applications for Cosmological Model Selection, are described in the following papers:

See the ReadMe file for program documentation and download.

If you use this software, please reference the first and third papers above.