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PyMC: Bayesian Stochastic modelling in Python
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نویسنده
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patil a. ,huard d. ,fonnesbeck c.j.
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منبع
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journal of statistical software - 2010 - دوره : 35 - - کد همایش: - صفحه:1 -81
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چکیده
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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.
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کلیدواژه
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Bayesian modeling; Markov chain monte carlo; Python; Simulation
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آدرس
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university of oxford,oxford, United Kingdom, atmospheric and oceanic sciences,mcgill university,montréal, Canada, department of biostatistics,school of medicine,vanderbilt university,nashville,tn, United States
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Authors
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