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Astrophysical Nonparametrically Upgraded Bayesian Inference of Subpopulations

Project description

ANUBIS - Astrophysical Nonparametrically Upgraded Bayesian Inference of Subpopulations

ANUBIS implements the inference of a multivariate probability density given a set of samples and an (incomplete) parametric model. The Heterogeneous Mixture Model, or HMM, is a finite mixture of parametric models augmented with DPGMM to capture the eventual features missed by the parametric model.

To install this code, run python install. In some cases (like on clusters), it may happen that you do not have the permission to write in the default installation directory. In this case, run python install --user.

This code makes use of FIGARO. Be sure of having it installed and updated. DO NOT USE pip install figaro, since it installs an homonymous package.

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