Likelihood-free inference with Python.
Project description
pyLFI
pyLFI is a Python toolbox for likelihood-free inference (LFI) for estimating the posterior distributions of model parameters.
This repository provides a Python library for kernel density estimation. In comparison to other Python implementations of kernel density estimation, key features of this library include:
- Support for weighted samples
- A variety of kernels, including a smooth, compact kernel.
Initial development is in progress, and there has not yet been a stable, usable release suitable for the public.
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