Abstract
Pitman closeness for Bayes shrinkage procedures in normal models are investigated. In point estimation, priors in the Strawderman class dominate the uniform prior. In predictive density estimation, spherically symmetric superharmonic priors dominate the uniform prior under log loss.
Original language | English (US) |
---|---|
Pages (from-to) | 21-29 |
Number of pages | 9 |
Journal | Statistics and Probability Letters |
Volume | 119 |
DOIs | |
State | Published - Dec 1 2016 |
ASJC Scopus subject areas
- Statistics and Probability
- Statistics, Probability and Uncertainty
Keywords
- Bayes
- Pitman closeness
- Point estimation
- Predictive density
- Stein prior
- Superharmonic prior