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‎README.md‎

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Some of the general concepts from the book are discussed in papers by Kruschke & Liddell. See references below.
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</P>
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**2018-08-16 (ongoing):**
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**2018-08-16:**
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Updating the notebooks with PyMC3 v3.5 and general code clean-up. Inserting plots of the PyMC models in plate notation (v3.5 feature). Fixing some deprecation warnings.
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</P>
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<IMG src='Notebooks/images/DBDA2.png' height=30% width=30%><P>
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<A href='http://nbviewer.jupyter.org/github/JWarmenhoven/DBDA-python/blob/master/Notebooks/Chapter%209.ipynb'>Chapter 9 - Hierarchical Models</A> (PyMC3 3.5)<BR>
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<A href='http://nbviewer.jupyter.org/github/JWarmenhoven/DBDA-python/blob/master/Notebooks/Chapter%2010.ipynb'>Chapter 10 - Model Comparison and Hierarchical Modelling</A> (PyMC3 3.5)<BR>
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<A href='http://nbviewer.jupyter.org/github/JWarmenhoven/DBDA-python/blob/master/Notebooks/Chapter%2012.ipynb'>Chapter 12 - Bayesian Approaches to Testing a Point ("Null") Hypothesis</A> (PyMC3 3.5)<BR>
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<A href='http://nbviewer.jupyter.org/github/JWarmenhoven/DBDA-python/blob/master/Notebooks/Chapter%2016.ipynb'>Chapter 16 - Metric-Predicted Variable on One or Two Groups</A> (PyMC3 3.5)<BR>
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<A href='http://nbviewer.jupyter.org/github/JWarmenhoven/DBDA-python/blob/master/Notebooks/Chapter%2017.ipynb'>Chapter 17 - Metric-Predicted Variable with One Metric Predictor</A> (PyMC3 3.5)<BR>
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<A href='http://nbviewer.jupyter.org/github/JWarmenhoven/DBDA-python/blob/master/Notebooks/Chapter%209.ipynb'>Chapter 9 - Hierarchical Models</A><BR>
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<A href='http://nbviewer.jupyter.org/github/JWarmenhoven/DBDA-python/blob/master/Notebooks/Chapter%2010.ipynb'>Chapter 10 - Model Comparison and Hierarchical Modelling</A><BR>
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<A href='http://nbviewer.jupyter.org/github/JWarmenhoven/DBDA-python/blob/master/Notebooks/Chapter%2012.ipynb'>Chapter 12 - Bayesian Approaches to Testing a Point ("Null") Hypothesis</A><BR>
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<A href='http://nbviewer.jupyter.org/github/JWarmenhoven/DBDA-python/blob/master/Notebooks/Chapter%2016.ipynb'>Chapter 16 - Metric-Predicted Variable on One or Two Groups</A><BR>
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<A href='http://nbviewer.jupyter.org/github/JWarmenhoven/DBDA-python/blob/master/Notebooks/Chapter%2017.ipynb'>Chapter 17 - Metric-Predicted Variable with One Metric Predictor</A><BR>
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<A href='http://nbviewer.jupyter.org/github/JWarmenhoven/DBDA-python/blob/master/Notebooks/Chapter%2018.ipynb'>Chapter 18 - Metric Predicted Variable with Multiple Metric Predictors</A><BR>
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<A href='http://nbviewer.jupyter.org/github/JWarmenhoven/DBDA-python/blob/master/Notebooks/Chapter%2019.ipynb'>Chapter 19 - Metric Predicted Variable with One Nominal Predictor</A> (PyMC3 3.5)<BR>
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<A href='http://nbviewer.jupyter.org/github/JWarmenhoven/DBDA-python/blob/master/Notebooks/Chapter%2019.ipynb'>Chapter 19 - Metric Predicted Variable with One Nominal Predictor</A><BR>
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<A href='http://nbviewer.jupyter.org/github/JWarmenhoven/DBDA-python/blob/master/Notebooks/Chapter%2020.ipynb'>Chapter 20 - Metric Predicted Variable with Multiple Nominal Predictor</A><BR>
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<A href='http://nbviewer.jupyter.org/github/JWarmenhoven/DBDA-python/blob/master/Notebooks/Chapter%2021.ipynb'>Chapter 21 - Dichotomous Predicted Variable</A> (PyMC3 3.5)<BR>
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<A href='http://nbviewer.jupyter.org/github/JWarmenhoven/DBDA-python/blob/master/Notebooks/Chapter%2022.ipynb'>Chapter 22 - Nominal Predicted Variable</A> (PyMC3 3.5)<BR>
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<A href='http://nbviewer.jupyter.org/github/JWarmenhoven/DBDA-python/blob/master/Notebooks/Chapter%2023.ipynb'>Chapter 23 - Ordinal Predicted Variable</A> (PyMC3 3.5)<BR>
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<A href='http://nbviewer.jupyter.org/github/JWarmenhoven/DBDA-python/blob/master/Notebooks/Chapter%2024.ipynb'>Chapter 24 - Count Predicted Variable</A> (PyMC3 3.5)
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<P>
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<A href='http://nbviewer.jupyter.org/github/JWarmenhoven/DBDA-python/blob/master/Notebooks/Chapter%2021.ipynb'>Chapter 21 - Dichotomous Predicted Variable</A><BR>
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<A href='http://nbviewer.jupyter.org/github/JWarmenhoven/DBDA-python/blob/master/Notebooks/Chapter%2022.ipynb'>Chapter 22 - Nominal Predicted Variable</A><BR>
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<A href='http://nbviewer.jupyter.org/github/JWarmenhoven/DBDA-python/blob/master/Notebooks/Chapter%2023.ipynb'>Chapter 23 - Ordinal Predicted Variable</A><BR>
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<A href='http://nbviewer.jupyter.org/github/JWarmenhoven/DBDA-python/blob/master/Notebooks/Chapter%2024.ipynb'>Chapter 24 - Count Predicted Variable</A><P>
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Extra:<BR>
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<A href='http://nbviewer.jupyter.org/github/JWarmenhoven/Various-Machine-Learning-bits/blob/master/Bayesian%20Linear%20Regression.ipynb'>Bayesian Linear Regression example (Bishop, 2006)</A><BR>
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<A href='http://nbviewer.jupyter.org/github/JWarmenhoven/DBDA-python/blob/master/Notebooks/Ordinal%20Model_Kruschke_Liddell.ipynb'>Example on modelling Ordinal Data (Liddell & Kruschke, 2018)</A>

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