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9 lines
554 B
Text
9 lines
554 B
Text
Bayesian estimation, particularly using Markov chain Monte Carlo (MCMC), is an
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increasingly relevant approach to statistical estimation. However, few
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statistical software packages implement MCMC samplers, and they are non-trivial
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to code by hand. pymc is a python package that implements the
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Metropolis-Hastings algorithm as a python class, and is extremely flexible and
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applicable to a large suite of problems. pymc includes methods for summarizing
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output, plotting, goodness-of-fit and convergence diagnostics.
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WWW: https://pypi.python.org/pypi/pymc
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