Transcription of Prior distributions for variance parameters in ...
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Bayesian Analysis (2006)1, Number 3, pp. 515 533 Prior distributions for variance parameters inhierarchical modelsAndrew GelmanDepartment of Statistics and Department of Political ScienceColumbia noninformative Prior distributions have been suggested forscale parameters in hierarchical models. We construct a newfolded-noncentral-tfamily of conditionally conjugate priors for hierarchicalstandard deviation pa-rameters, and then consider noninformative and weakly informative priors in thisfamily. We use an example to illustrate serious problems with the inverse-gammafamily of noninformative Prior distributions .
prior distribution, weakly informative prior distribution 1 Introduction Fully-Bayesian analyses of hierarchical linear models have been considered for at least ... tions from data rather than requiring them to be specified using subjective information (see James and Stein, 1960, Efron and Morris, 1975, and Morris, 1983). At a practi-
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