Name: NestedSampling Version: 0.1.4 Synopsis: A port of John Skilling's nested sampling C code to Haskell. Description: 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 . . The original code can be found at along with documentation at . 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 but it has not been ported to Haskell yet. Homepage: https://github.com/ijt/haskell_nested_sampling License: GPL-2 License-file: LICENSE Author: Issac Trotts Maintainer: issac.trotts@gmail.com Copyright: (C) Sivia, Skilling 2006, Trotts 2011 Category: Statistics Build-type: Simple Extra-source-files: examples/lighthouse.hs README Cabal-version: >=1.6 source-repository head type: git location: git://github.com/ijt/haskell_nested_sampling.git Library Exposed-modules: Statistics.MiniNest Build-depends: base >= 4 && < 5, random, vector hs-source-dirs: lib