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arxiv: 1709.01449 · v5 · submitted 2017-09-05 · 📊 stat.ME · stat.AP

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Visualization in Bayesian workflow

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classification 📊 stat.ME stat.AP
keywords bayesiananalysisdatamodelvisualizationworkflowappliedbuilding
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Bayesian data analysis is about more than just computing a posterior distribution, and Bayesian visualization is about more than trace plots of Markov chains. Practical Bayesian data analysis, like all data analysis, is an iterative process of model building, inference, model checking and evaluation, and model expansion. Visualization is helpful in each of these stages of the Bayesian workflow and it is indispensable when drawing inferences from the types of modern, high-dimensional models that are used by applied researchers.

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  1. Probing the Origin of Magnetar X-ray Polarization Diversity: A Multi-wavelength Geometrical Study of 1E 1547.0-5408 and 1E 2259+586

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