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Rock n Rolling awesome affine-invariant MCMC Sampler

Project description

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

gnm is a stable, 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.

Change Log

1.0.0 : (2016-10-3)

  • Initial release.

Project details


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