Gibbs Sampling with Diffuse Proper Priors: A Valid Approach to Data-Driven Inference?
Journal of Computational and Graphical StatisticsPublished 1 September 1998
Ranjini Natarajan, Charles E. McCulloch
Citations34
SJR quartileQ1
SJR score1.24
SNIP1.40
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Abstract
This paper demonstrates by example that the use of the Gibbs sampler with diffuse proper priors can lead to inaccurate posterior estimates.Our results show that such inaccuracies are not merely limited to small sample settings.
Keywords
Computer ScienceMathematics
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