A Nested Sampling Algorithm for Cosmological Model Selection

@article{Mukherjee2006ANS,
  title={A Nested Sampling Algorithm for Cosmological Model Selection},
  author={Pia Mukherjee and David Parkinson and Andrew R. Liddle},
  journal={The Astrophysical Journal Letters},
  year={2006},
  volume={638},
  pages={L51 - L54}
}
The abundance of cosmological data becoming available means that a wider range of cosmological models are testable than ever before. However, an important distinction must be made between parameter fitting and model selection. While parameter fitting simply determines how well a model fits the data, model selection statistics, such as the Bayesian evidence, are now necessary to choose between these different models, and in particular to assess the need for new parameters. We implement a new… 

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