Gaussian process tutorial materials
Requires kplr, george, emcee, corner.
pip install all of these!
Resources:
Razmussen & Williams, Gaussian Processes for Machine Learning: http://www.gaussianprocess.org/gpml/chapters/RW.pdf
george documentation: https://george.readthedocs.io/en/latest/
celerite documentation: http://celerite.readthedocs.io/en/stable/
Visualising kernels: http://dfm.io/gp.js/
My paper on using GPs to measure rotation periods: https://arxiv.org/abs/1706.05459
With code here: https://github.com/RuthAngus/GProtation
Dan Foreman-Mackey's paper on a fast GP implementation: https://arxiv.org/abs/1703.09710