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View pymc.md

PyMC

Markov chain Monte Carlo in Python

Chris Fonnesbeck

Vanderbilt Department of Biostatistics

Vanderbilt Center for Quantitative Sciences

Vanderbilt Evidence-based Practice Center

View Diversity.ipynb
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View TextMate Editing.md

Power Text Editing using TextMate

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View 3_Fitting-Models-to-Data.ipynb
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"# Fitting Models to Data\n",
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"In the first chapter, we learned that while Bayes' formula is simple and its derivation is straightforward, using it to estimate model parameters is hampered by the fact that its calculation typically involves multidimensional integration that is rarely computable in closed form. Most useful Bayesian models, therefore, require computational methods in order to obtain reasonable estimates. Now that we have some Python at our disposal, we will make use of them by stepping through a selection of numerical methods for calculating Bayesian models."
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