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).
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Copyright
Copyright 2016 Mehmet Ugurbil and contributors.
License
gnm is a free software made available under the MIT LICENSE.
Change Log
1.0.0 : (2016-10-3)
Initial release.
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