# NestedSampling: A port of John Skilling's nested sampling C code to Haskell.

Nested Sampling is a numerical algorithm for approximate Bayesian inference. It generates samples from the posterior distribution but its main purpose is to estimate the evidence P(M|D) of the model conditioned on the observed data. More information on Nested Sampling is available at http://en.wikipedia.org/wiki/Nested_sampling_algorithm.

The original code can be found at http://www.inference.phy.cam.ac.uk/bayesys/sivia/ along with documentation at http://www.inference.phy.cam.ac.uk/bayesys/. An example program called lighthouse.hs is included.

So far, only the simple demonstration file called mininest.c has been ported. There is a more sophisticated C library available at http://www.inference.phy.cam.ac.uk/bayesys/nest/nest.tar.gz but it has not been ported to Haskell yet.

[Skip to Readme]

## Downloads

- NestedSampling-0.1.4.tar.gz [browse] (Cabal source package)
- Package description (as included in the package)

Versions [RSS] | 0.1.1, 0.1.2, 0.1.3, 0.1.4 |
---|---|

Dependencies | base (>=4 && <5), random, vector [details] |

License | GPL-2.0-only |

Copyright | (C) Sivia, Skilling 2006, Trotts 2011 |

Author | Issac Trotts |

Maintainer | issac.trotts@gmail.com |

Category | Statistics |

Home page | https://github.com/ijt/haskell_nested_sampling |

Source repo | head: git clone git://github.com/ijt/haskell_nested_sampling.git |

Uploaded | by IssacTrotts at 2011-09-22T07:24:27Z |

Distributions | NixOS:0.1.4 |

Downloads | 3562 total (9 in the last 30 days) |

Rating | (no votes yet) [estimated by Bayesian average] |

Your Rating | |

Status | Docs uploaded by user Build status unknown [no reports yet] |