flat-mcmc

Painless, efficient, general-purpose sampling from continuous distributions.
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commit d0a096b5cb722832fa59ea02c65801b21e92accf
parent 6016a652c10e00a86dc7f4b428f0b6594c2ac2b1
Author: Jared Tobin <jared@jtobin.ca>
Date:   Wed,  6 Apr 2016 20:42:01 +0700

Fix annoying markup in description.

Diffstat:
Mflat-mcmc.cabal | 8++++----
1 file changed, 4 insertions(+), 4 deletions(-)

diff --git a/flat-mcmc.cabal b/flat-mcmc.cabal @@ -1,5 +1,5 @@ name: flat-mcmc -version: 1.0.0 +version: 1.0.1 synopsis: Painless general-purpose sampling. homepage: http://jtobin.github.com/flat-mcmc license: MIT @@ -10,10 +10,10 @@ category: Math build-type: Simple cabal-version: >=1.10 description: - *flat-mcmc* is a Haskell library for painless, efficient, general-purpose + flat-mcmc is a Haskell library for painless, efficient, general-purpose sampling from continuous distributions. . - *flat-mcmc* uses an ensemble sampler that is invariant to affine + flat-mcmc uses an ensemble sampler that is invariant to affine transformations of space. It wanders a target probability distribution's parameter space as if it had been "flattened" or "unstretched" in some sense, allowing many particles to explore it locally and in parallel. @@ -21,7 +21,7 @@ description: In general this sampler is useful when you want decent performance without dealing with any tuning parameters or local proposal distributions. . - *flat-mcmc* exports an 'mcmc' function that prints a trace to stdout, as well + flat-mcmc exports an 'mcmc' function that prints a trace to stdout, as well as a 'flat' transition operator that can be used more generally. . > import Numeric.MCMC.Flat