The NestedSampling package

[Tags: gpl, library]

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.


Versions0.1.1, 0.1.2, 0.1.3, 0.1.4
Dependenciesbase (==4.*), NestedSampling, random, vector
Copyright(C) Sivia, Skilling 2006, Trotts 2011
AuthorIssac Trotts
Home page
UploadedMon Sep 19 07:50:25 UTC 2011 by IssacTrotts
Downloads473 total (29 in last 30 days)
StatusDocs uploaded by user
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