<commit_before>.. MC3 documentation master file, created by
   sphinx-quickstart on Tue Dec 15 19:45:44 2015.
   You can adapt this file completely to your liking, but it should at least
   contain the root `toctree` directive.

.. |br| raw:: html

   <br/>

Multi-Core Markov-Chain Monte Carlo (MC3)
=========================================

:Author:       <NAME> and collaborators (see :ref:`team`)
:Contact:      `patricio.cubillos[at]oeaw.ac.at`_
:Organizations: University of Central Florida (UCF), `Space Research Institute (IWF) <http://iwf.oeaw.ac.at/>`_
:Web Site:     https://github.com/pcubillos/MCcubed
:Date:         |today|



Features
--------

MC3 is a powerful Bayesian-statistics tool that offers:

- Levenberg-Marquardt least-squares optimization.
- Markov-chain Monte Carlo (MCMC) posterior-distribution sampling following the:

  - Metropolis-Hastings algorithm with Gaussian proposal distribution, or
  - Differential-Evolution MCMC (recomended).

The following features are available when running MC3:

- Execution from the Shell prompt or interactively through the Python interpreter.
- Single- or multiple-CPU parallel computing.
- Uniform non-informative, Jeffreys non-informative, or Gaussian-informative priors.
- Gelman-Rubin convergence test.
- Share the same value among multiple parameters.
- Fix the value of parameters to constant values.
- Correlated-noise estimation with the Time-averaging or the Wavelet-based Likelihood estimation methods.

.. _team:

Team Members
------------

- `<NAME> <https://github.com/pcubillos>`_ (UCF, IWF) `patricio.cubillos[at]oeaw.ac.at`_
- <NAME> (UCF)
- <NAME> (UCF)
- `<NAME> <http://aj-foster.com>`_ (UCF)
- Madison Stemm (UCF)

Documentation
=============

.. toctree::
   :maxdepth: 3

   getstarted
   mctutorial
   fittutorial
   license

.. Indices and tables
.. ==================

.. * :ref:`genindex`
.. * :ref:`modindex`
.. * :ref:`search`


Be Kind
=======


Please cite this paper if you found MC3 useful for your research:
  `Cubillos et al. 2016: On the Correlated Noise Analyses Applied to Exoplanet Light Curves`_, in preparation.

We welcome your feedback, but do not necessarily guarantee support.
Please send feedback or inquiries to:
<commit_msg>Updated list of collaborators in docs.<commit_after>.. MC3 documentation master file, created by
   sphinx-quickstart on Tue Dec 15 19:45:44 2015.
   You can adapt this file completely to your liking, but it should at least
   contain the root `toctree` directive.

.. |br| raw:: html

   <br/>

Multi-Core Markov-Chain Monte Carlo (MC3)
=========================================

:Author:       <NAME> and collaborators (see :ref:`team`)
:Contact:      `patricio.cubillos[at]oeaw.ac.at`_
:Organizations: University of Central Florida (UCF), `Space Research Institute (IWF) <http://iwf.oeaw.ac.at/>`_
:Web Site:     https://github.com/pcubillos/MCcubed
:Date:         |today|



Features
========

MC3 is a powerful Bayesian-statistics tool that offers:

- Levenberg-Marquardt least-squares optimization.
- Markov-chain Monte Carlo (MCMC) posterior-distribution sampling following the:

  - Metropolis-Hastings algorithm with Gaussian proposal distribution, or
  - Differential-Evolution MCMC (recomended).

The following features are available when running MC3:

- Execution from the Shell prompt or interactively through the Python interpreter.
- Single- or multiple-CPU parallel computing.
- Uniform non-informative, Jeffreys non-informative, or Gaussian-informative priors.
- Gelman-Rubin convergence test.
- Share the same value among multiple parameters.
- Fix the value of parameters to constant values.
- Correlated-noise estimation with the Time-averaging or the Wavelet-based Likelihood estimation methods.

.. _team:

Collaborators
=============

All of these people have made a direct or indirect contribution to
``MCcubed``, and in many instances have been fundamental in the
development of this package.

- `<NAME> <https://github.com/pcubillos>`_ (UCF, IWF) `patricio.cubillos[at]oeaw.ac.at`_
- <NAME> (UCF)
- <NAME> (UCF)
- `<NAME> <http://aj-foster.com>`_ (UCF)
- <NAME> (UCF)
- <NAME> (UCF)
- <NAME> (UCF)
- <NAME> (UCF)
- <NAME> (UCF)

Documentation
=============

.. toctree::
   :maxdepth: 3

   getstarted
   mctutorial
   fittutorial
   license

.. Indices and tables
.. ==================

.. * :ref:`genindex`
.. * :ref:`modindex`
.. * :ref:`search`


Be Kind
=======


Please cite this paper if you found MC3 useful for your research:
  `Cubillos et al. 2016: On the Correlated Noise Analyses Applied to Exoplanet Light Curves`_, in preparation.

We welcome your feedback, but do not necessarily guarantee support.
Please send feedback or inquiries to:

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