Welcome to nessai’s documentation!
Note
This page is still under construction. Some links may not work and some sections are missing. We also welcome contributions to the documentation. For details how to contribute, see: https://github.com/mj-will/nessai
Nessai
nessai
(/ˈnɛsi/): Nested Sampling with Artificial Intelligence
nessai
is a nested sampling algorithm for Bayesian Inference that incorporates normalising flows. It is designed for applications where the Bayesian likelihood is computationally expensive.
The code is available at: https://github.com/mj-will/nessai.
Contents:
Examples:
Citing nessai
If you find nessai
useful in your work please cite the DOI for this code and our paper:
@software{nessai,
author = {Michael J. Williams},
title = {nessai: Nested Sampling with Artificial Intelligence},
month = feb,
year = 2021,
publisher = {Zenodo},
version = {latest},
doi = {10.5281/zenodo.4550693},
url = {https://doi.org/10.5281/zenodo.4550693}
}
@article{williams2021nested,
title={Nested Sampling with Normalising Flows for Gravitational-Wave Inference},
author={Michael J. Williams and John Veitch and Chris Messenger},
year={2021},
eprint={2102.11056},
archivePrefix={arXiv},
primaryClass={gr-qc}
}