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On the effect of prior assumptions in Bayesian model averaging with applications to growth regression

✍ Scribed by Eduardo Ley; Mark F.J. Steel


Book ID
118284113
Publisher
John Wiley and Sons
Year
2009
Tongue
English
Weight
293 KB
Volume
24
Category
Article
ISSN
0883-7252

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Bayesian model averaging (BMA) has become widely accepted as a way of accounting for model uncertainty, notably in regression models for identifying the determinants of economic growth. To implement BMA the user must specify a prior distribution in two parts: a prior for the regression parameters an