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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Veröffentlicht in:Journal of the Royal Statistical Society. Series A, Statistics in society Jg. 182; H. 2; S. 389 - 402
Hauptverfasser: Gabry, Jonah, Simpson, Daniel, Vehtari, Aki, Betancourt, Michael, Gelman, Andrew
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Oxford Wiley 01.02.2019
Oxford University Press
Schlagworte:
Bayesian analysis
Bayesian data analysis
Data analysis
Grammatical aspect
Inference
Iterative methods
Markov analysis
Markov chains
Original Articles
Statistical graphics
Statistical workflow
Visualization
Workflow
ISSN:0964-1998, 1467-985X
Online-Zugang:Volltext
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Beschreibung
Zusammenfassung: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.
Bibliographie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:0964-1998
1467-985X
DOI:10.1111/rssa.12378