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 setup.py 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 setup.py 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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