Journal
JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS
Volume 13, Issue 4, Pages 755-779Publisher
AMER STATISTICAL ASSOC
DOI: 10.1198/106186004X11435
Keywords
Bayesian inference; bootstrap; graphs; multiple imputation; posterior predictive checks
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Exploratory and confirmatory data analysis can both be viewed as methods for comparing observed data to what Would be obtained tinder an implicit or explicit statistical model. For example, many of Tukey's methods can be interpreted as checks against hypothetical linear models and Poisson distributions. In more complex situations. Bayesian methods can be useful for constructing reference distributions for various plots that are useful in exploratory data analysis. This article proposes an approach to unify exploratory data analysis with more formal statistical methods based on probability models. These ideas are developed in the context of examples front fields including psychology. medicine. and social science.
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