BayesPSD

Bayesian power spectral analysis tools

Requires

python 2.7 or later
numpy
scipy
matplotlib

Recommended

emcee (for efficient MCMC): https://github.com/dfm/emcee
ipython notebooks (for running the demo): http://ipython.org/notebook.html
acor: https://github.com/dfm/acor
statsmodels (for estimating the inverse covariance, unless using BFGS): https://github.com/statsmodels/statsmodels
seaborn (for pretty plotting)

Installation

Clone this repository in a directory on your home system:

/my/directory/$> git clone https://github.com/dhuppenkothen/BayesPSD.git
add /my/directory/ to your $PYTHONPATH variablym either in .profile or .bashrc; this depends on your system!
Congratulations, you should now be able to use the code in the repository.

You can either

start with the Demo notebook in ./docs/
run the code on multiple bursts using ./code/run_bursts.py
use any of the other code in the repo for your purposes.