Prior distributions for variance parameters in hierarchical models
Various noninformative prior distributions have been suggested for scale parameters in hierarchical models. We construct a new folded-noncentral- t family of conditionally conjugate priors for hierarchical standard deviation parameters, and then consider noninformative and weakly informative priors in this family. We use an example to illustrate serious problems with the inverse-gamma family of ``noninformative'' prior distributions. We suggest instead to use a uniform prior on the hierarchical standard deviation, using the half-t family when the number of groups is small and in other settings where a weakly informative prior is desired.
|Date of creation:||Jun 2004|
|Date of revision:|
|Contact details of provider:|| Postal: |
Phone: +322 299 3523
Fax: +322 299 3523
Web page: http://www.eeri.eu/index.htm
More information through EDIRC
When requesting a correction, please mention this item's handle: RePEc:eei:rpaper:eeri_rp_2004_06. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Julia van Hove)
If references are entirely missing, you can add them using this form.