Downsampling Likelihood Function Estimation
Project description
dolfen: Downsampling Estimation of the Likelihood function for Time-domain signals
dolfen: Downsampling Likelihood Function Estimation
dolfen is an algorithm for Bayesian analysis that infers the likelihood function by downsampling. It is designed in particular for use with simulated, long duration, slowly evolving signals consisting of very many datapoints, where the Bayesian likelihood is expensive.
Installation
dolfen can be installed using pip:
pip install dolfen
Using bilby
See the examples included with dolfen for how to run dolfen via bilby.
Documentation
Documentation is available at: dolfen.readthedocs.io
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