Visualization in Bayesian workflow

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...

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Bibliographic Details
Published in:Journal of the Royal Statistical Society. Series A, Statistics in society Statistics in society, 2019-02, Vol.182 (2), p.389-402
Main Authors: Gabry, Jonah, Simpson, Daniel, Vehtari, Aki, Betancourt, Michael, Gelman, Andrew
Format: Article
Language:English
Subjects:
Bayesian analysis
Bayesian data analysis
Data analysis
Iterative methods
Markov chains
Original Articles
Statistical graphics
Statistical workflow
Visualization
Workflow
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Summary: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.
ISSN:0964-1998
1467-985X
DOI:10.1111/rssa.12378