Bayesian Cognitive Modeling in PyMC3

PyMC3 port of Lee and Wagenmakers' Bayesian Cognitive Modeling - A Practical Course

All the codes are in jupyter notebook with the model explain in distributions (as in the book). Background information of the models please consult the book. You can also compare the result with the original code associated with the book (WinBUGS and JAGS; Stan)

All the codes are currently tested under PyMC3 v3.1 with theano

In [1]:
# Python Environment and library version
%load_ext watermark
%watermark -v -m -p scipy,numpy,pandas,matplotlib,seaborn,pymc3,theano
CPython 3.5.2
IPython 6.1.0

scipy 0.19.1
numpy 1.13.1
pandas 0.20.3
matplotlib 2.0.2
seaborn 0.7.1
pymc3 3.1

compiler   : GCC 5.4.0 20160609
system     : Linux
release    : 4.4.0-92-generic
machine    : x86_64
processor  : x86_64
CPU cores  : 8
interpreter: 64bit