Scalable 1D Gaussian Processes
Project description
celerite — Scalable 1D Gaussian Processes in C++, Python, and Julia
Read the documentation at: celerite.rtfd.io.
The Julia implementation is being developed in a different repository: ericagol/celerite.jl. Issues related to that implementation should be opened there.
If you make use of this code, please cite the following papers:
@article{genrp,
author = {Sivaram Ambikasaran},
title = {Generalized Rybicki Press algorithm},
year = {2015},
journal = {Numer. Linear Algebra Appl.},
volume = {22},
number = {6},
pages = {1102--1114},
doi = {10.1002/nla.2003},
url = {https://arxiv.org/abs/1409.7852}
}
@article{celerite,
author = {{Foreman-Mackey}, D. and {Agol}, E. and {Angus}, R. and
{Ambikasaran}, S.},
title = {Fast and scalable Gaussian process modeling
with applications to astronomical time series},
year = {2017},
journal = {ArXiv},
url = {https://arxiv.org/abs/1703.09710}
}Release history Release notifications | RSS feed
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