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Solving inverse problems with PyMC...

pythonprobabilitypymcmcmc

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PyMC code gives unusual results...

bayesianpymcmcmc

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Defining the exponential prior with jumping order of magnitude in parameter space...

pythonbayesianpymcmcmcpymc3

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What is meant by "Tuning of step methods" in pymc...

statisticsdistributionpymcmcmc

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Using rmultinom with Rcpp...

c++rrcppbayesianmcmc

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KeyError while printing trace in PyMC...

pythonpymcmcmcmultinomialdirichlet

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Meaning of a variable declaration in PyMC...

pythonrandompoissonpymcmcmc

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Decorators in PyMC...

pythondecoratorpython-decoratorspymcmcmc

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setting up MCMC with log-likelihood and log-normal prior with PyMC...

statisticsbayesianpymcmcmcpymc3

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Stochastic variables in pymc...

pythondistributionpymcmcmcstochastic

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plotting figure from saved traces in pymc...

pythonplotpicklepymcmcmc

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How does pymc represent the prior distribution and likelihood function?...

pythonbayesianmcmcpymc

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PyMC: sampling step by step?...

pymcmcmc

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Getting the statistics of deterministic variables in PyMC...

pythonmcmcpymc

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Calculating Gelman and Rubins convergence statistic for only a subset of iterations (coda package)...

rmarkov-chainsmcmcconvergence

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Multi-image processing with PyMC3...

pythonimage-processingbayesianpymcmcmc

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PyMC: MCMC sampling with pickle database incredibly slow after initial sampling run...

pythonmcmcpymc

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Calling R from C from R in mcmc...

crmcmc

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R code mcmcplots function...

rplotmcmc

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Ordered 'for' loop efficiency in OpenMP...

openmpmcmc

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