The NestedSampling package
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]
|Versions||0.1.1, 0.1.2, 0.1.3, 0.1.4|
|Change log||None available|
|Dependencies||base (==4.*), random, vector [details]|
|Copyright||(C) Sivia, Skilling 2006, Trotts 2011|
|Source repository||head: git clone git://github.com/ijt/haskell_nested_sampling.git|
|Uploaded||Thu Sep 22 07:24:27 UTC 2011 by IssacTrotts|
|Downloads||808 total (42 in last 30 days)|
|Status||Docs uploaded by user|
Build status unknown [no reports yet]
- NestedSampling-0.1.4.tar.gz [browse] (Cabal source package)
- Package description (included in the package)
For package maintainers and hackage trustees