1. Concepts and techniques 
==========================

.. toctree::
   :maxdepth: 1

   anova.md
   bias_variance_tradeoff.md
   bootstrap.md
   causation.md
   clt.md
   derivatives.md
   max-likelihood.md
   mode.md
   ols.rst
   pca.md
   simulation.md

.. admonition:: To cover next: Concepts  

    - indentification 
    - inference 
    - overfitting
    - `spurious regression <https://mpra.ub.uni-muenchen.de/59008/>`__

.. admonition:: To cover next: Theorems

    - `Bayes theorem <http://onlinestatbook.com/2/probability/bayes_demo.html>`__
    - Gauss-Markov theorem

.. admonition:: To cover next: Research design

    - replication, replicability 
    - `complexity bias <https://fs.blog/2018/01/complexity-bias/>`__

.. admonition:: Peer publication

   You may want to consult 
   `Library of Statistical Techniques (LOST) <https://lost-stats.github.io>`__
   to see some of the concepts in action, mainly with R code.