Similarly to the determination of a prior in Bayesian Decision theory, an arbitrarily precise determination of the loss function is unrealistic. Thus, analogously to global robustness with respect to the prior, one can consider a set of loss functions to describe the imprecise preferences of the dec
โฆ LIBER โฆ
Asymptotic Bayes risks for a general class of losses
โ Scribed by Judith Rousseau
- Book ID
- 104302606
- Publisher
- Elsevier Science
- Year
- 1997
- Tongue
- English
- Weight
- 360 KB
- Volume
- 35
- Category
- Article
- ISSN
- 0167-7152
No coin nor oath required. For personal study only.
โฆ Synopsis
We give an equivalent of the Bayes risk for a general class of losses in the compact and in the non-compact cases, showing the equivalence with quadratic risks. Some examples are presented.
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