C
Christopher Fonnesbeck
Researcher at Vanderbilt University Medical Center
Publications - 77
Citations - 5337
Christopher Fonnesbeck is an academic researcher from Vanderbilt University Medical Center. The author has contributed to research in topics: Population & Medical encyclopedia. The author has an hindex of 29, co-authored 75 publications receiving 4135 citations. Previous affiliations of Christopher Fonnesbeck include Vanderbilt University & University of Otago.
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Probabilistic Programming in Python using PyMC3
TL;DR: This paper is a tutorial-style introduction to PyMC3, a new open source Probabilistic Programming framework written in Python that uses Theano to compute gradients via automatic dierentiation as well as compile probabilistic programs on-the-fly to C for increased speed.
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PyMC: Bayesian Stochastic Modelling in Python.
TL;DR: PyMC as discussed by the authors is a Python package that allows users to efficiently code a probabilistic model and draw samples from its posterior distribution using Markov chain Monte Carlo techniques using a user guide.
PyMC: Bayesian Stochastic Modelling in Python
TL;DR: This user guide describes a Python package, PyMC, that allows users to efficiently code a probabilistic model and draw samples from its posterior distribution using Markov chain Monte Carlo techniques.
Journal ArticleDOI
Adaptive management and the value of information: learning via intervention in epidemiology.
Katriona Shea,Michael J. Tildesley,Michael C. Runge,Christopher Fonnesbeck,Matthew J. Ferrari +4 more
TL;DR: The benefits of applying Adaptive Management approaches to disease outbreaks are explored, finding that formally integrating science and policy allows one to reduce uncertainty and improve disease management outcomes.