Arbeitspapier
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.
- Sprache
-
Englisch
- Erschienen in
-
Series: EERI Research Paper Series ; No. 6/2004
- Klassifikation
-
Wirtschaft
- Thema
-
Bayesian inference conditional conjugacy folded noncentral-t distribution half-t distribution hierarchical model multilevel model noninformative prior distribution weakly informative prior distribution
- Ereignis
-
Geistige Schöpfung
- (wer)
-
Gelman, Andrew
- Ereignis
-
Veröffentlichung
- (wer)
-
Economics and Econometrics Research Institute (EERI)
- (wo)
-
Brussels
- (wann)
-
2004
- Handle
- Letzte Aktualisierung
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10.03.2025, 11:43 MEZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Objekttyp
- Arbeitspapier
Beteiligte
- Gelman, Andrew
- Economics and Econometrics Research Institute (EERI)
Entstanden
- 2004
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