Welcome to the pymultinest tutorial!
================================================

This tutorial was developed for the `Monte Carlo Methods in Advanced Statistics Applications and Data Analysis school <https://indico.desy.de/conferenceDisplay.py?confId=7699>`_ 
(18-22 November 2013, MPI Munich). There are accompaning `slides <_static/slides/index.html>`_.

It should kickstart you to

* implement your own likelihood and prior 
* run pymultinest
* visualize and interpret the results

Make sure you have :doc:`pymultinest installed <install>` correctly.
Then, **go get started with** :doc:`Example 1 <example1>`!

Contents
---------------
.. toctree::
   example1
   example2
   example3
   :maxdepth: 2

Links
------------
* `PyMultiNest documentation <http://johannesbuchner.github.io/PyMultiNest/>`_.
* :doc:`install`
* If you get bored, more links are at the end of :doc:`Example 3 <example3>`


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

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