Mixtures of -priors for Bayesian model averaging with economic applications
β Scribed by Eduardo Ley; Mark F.J. Steel
- Book ID
- 119294264
- Publisher
- Elsevier Science
- Year
- 2012
- Tongue
- English
- Weight
- 866 KB
- Volume
- 171
- Category
- Article
- ISSN
- 0304-4076
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π SIMILAR VOLUMES
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
## Abstract In the last decade, numerous genomeβwide linkage and association studies of complex diseases have been completed. The critical question remains of how to best use this potentially valuable information to improve study design and statistical analysis in current and future genetic associa