[AstroPy] [ANN] Nestle: Nested sampling

[Wolfgang Kerzendorf]

HI Kyle,

Very nice. I'll definitely have a look at that.

Cheers,
   Wolfgang
--
Dr. Wolfgang E Kerzendorf
ESO Fellow
European Southern Observatory
Karl-Schwarzschild Str. 2, 85748
Garching bei Muenchen, Germany

On Tue, Sep 29, 2015 at 6:09 AM Kyle Barbary <kylebarbary at gmail.com> wrote:

> Hi all,
>
> I'm pleased to announce the initial release of Nestle, a small Python
> package for nested sampling. ("Nestle" rhymes with "wrestle".) Nested
> sampling is a statistical technique for parameter estimation and model
> comparison, commonly used in cosmology. We've been using it in the sncosmo
> package and have found it to be a robust global optimizer in addition to
> its more typically cited benefits.
>
> Nestle implements an algorithm similar to that used in the MultiNest
> software, but in an open-source (MIT) licensed and easy-to-install (pure
> Python) package. (It was written based only on the literature, not the
> MultiNest source code.) In addition to this algorithm, Nestle also
> implements the "classic" nested sampling algorithm and the "single
> ellipsoid" algorithm.
>
> Nestle depends on only numpy and (optionally) scipy and supports both
> Python 3 and Legacy Python (formerly known as Python 2).
>
> docs: http://kbarbary.github.io/nestle
> source: http://github.com/kbarbary/nestle
>
> I'd appreciate any feedback on this initial release, particularly about
> application to real-world problems and comparisons with results from
> MultiNest. Thanks!
>
> - Kyle
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