Code for Kernel Adaptive Metropolis-Hastings
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README.md

#Code for Kernel Adaptive Metropolis-Hastings.

See http://jmlr.org/proceedings/papers/v32/sejdinovic14.html

Written (W) 2013-2014 Heiko Strathmann and Dino Sejdinovic

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This software is licensed under a BSD license. See license.txt.

##Description See kameleon_mcmc.examples for demonstrations how to run the sampler on example distributions. All experiments in the paper can be reproduced with the scripts in experiments.scripts. All figures in the paper can be reproduced with scripts in kameleon_mcmc.paper_figures.

The kameleon_mcmc.gp module contains code for sampling GP classification based distributions over hyperparameters, marginalised over the GP latent variables. The resulting marginal likelihood is not available in the closed form and has to be estimated. The Shogun machine learning toolbox is used for this. See http://shogun-toolbox.org/