PyMC Example Notebooks
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README
blockers_bayesian_meta-analysis.ipynb
function_maximization.ipynb
gibbs_for_uniform_ball.ipynb
gp_derivative_constrained.ipynb
negative_binomial_dist.ipynb
pymc_and_pandas.ipynb
seeds_re_logistic_regression.ipynb
seeds_re_logistic_regression_pymc3.ipynb

README

PyMC by Example
===============

This repository includes example applications of PyMC as IPython
Notebooks.  Browse them online here:

    http://nbviewer.ipython.org/github/aflaxman/pymc-examples/tree/master/


Contents
--------

pymc_and_pandas:

    example of using pandas.Series and pandas.DataFrame as pymc
    Stochastic and Deterministics


negative_binomial_dist:

    an exploration of how pymc parameterizes the negative
    binomial distribution


function_maximization:

    a simple example of using pymc.MAP to optimize a function of
    3 variables.


gibbs_for_uniform_ball:

    a simple example of subclassing pymc.Gibbs and using it to
    sample uniformly from the unit ball in n-dimensions


seeds_re_logistic_regression:

    a random effects logistic regression for seed growth, made
    famous as an example for BUGS

gp_derivative_constraints:

    an approximation to putting bounds on derivatives of
    Gaussian Processes