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Modular ABC inference framework for python

Project description

ELFI is a statistical software package for likelihood-free inference (LFI) such as Approximate Bayesian Computation (ABC). The term LFI refers to a family of inference methods that replace the use of the likelihood function with a data generating simulator function. Other names or related approaches to LFI include simulator-based inference, approximate Bayesian inference, indirect inference, etc.

ELFI features an easy to use syntax and supports parallelized inference out of the box.

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Filename, size & hash SHA256 hash help File type Python version Upload date
elfi-0.7.2-py3-none-any.whl (116.4 kB) Copy SHA256 hash SHA256 Wheel py3 Jun 20, 2018

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