Chris Fonnesbeck fonnesbeck


    
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PyMC


Markov chain Monte Carlo in Python


Chris Fonnesbeck


Vanderbilt Department of Biostatistics


Vanderbilt Center for Quantitative Sciences


Vanderbilt Evidence-based Practice Center

      
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    "# Fitting Models to Data\n",
    "\n",
    "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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Halasa IPython Notebooks


Jordan rate estimation
ARI severity analysis
Risk factor tables
ICU analysis


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