# PyCon 2013: Bayesian Statistics Made Simple

When |
13 March 2013
from 01:30 PM to 04:30 PM |
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Where | Santa Clara CA USA |

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I will present simple programs that demonstrate the concepts of Bayesian statistics, and apply them to a range of example problems. Participants will work hands-on with example code and practice on example problems.

Students should have at least basic Python and basic statistics. If you learned about Bayes’s Theorem and probability distributions at some time, that’s enough, even if you don’t remember it!

Students should bring a laptop with Python 2.x and matplotlib. You can work in any environment; you just need to be able to download a Python program and run it.

Outline: 1. Bayes’s theorem. 2. Representing probability distributions. 3. Bayesian estimation. 4. Biased coins and student test scores. 5. Censored data. 6. The locomotive / German tank problem. 7. Hierarchical models and the hidden species problem.