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Rock n Rolling MCMC Sampler

Project description

Rock and Rolling awesome Python package for affine-invariant MCMC sampling

gnm is a well tested Python implementation of the affine-invariant sampler for Markov chain Monte Carlo (MCMC) that uses the Gauss-Newton-Metropolis (GNM) Algorithm. The GNM algorithm is specialized in sampling highly non-linear posterior probability distribution functions of the form exp(-||f(x)||^2/2).

Pages

home, github

Attribution

Goodman

License

gnm is a free software made available under the MIT LICENSE.

Project details


Release history Release notifications

This version
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1.0.4

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1.0.4a0

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1.0.3

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1.0.2

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1.0.0

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Filename, size & hash SHA256 hash help File type Python version Upload date
gnm-1.0.4.tar.gz (10.9 kB) Copy SHA256 hash SHA256 Source None May 31, 2017

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