On fuzzy Bayesian inference
✍ Scribed by Sylvia Frühwirth-Schnatter
- Book ID
- 107902699
- Publisher
- Elsevier Science
- Year
- 1993
- Tongue
- English
- Weight
- 893 KB
- Volume
- 60
- Category
- Article
- ISSN
- 0165-0114
No coin nor oath required. For personal study only.
📜 SIMILAR VOLUMES
We represent random vectors Z that take values in R n &[0] as Z=RY, where R is a positive random variable and Y takes values in an (n&1)-dimensional space Y. By fixing the distribution of either R or Y, while imposing independence between them, different classes of distributions on R n can be genera
## Abstract The original Bayes used an analogy involving an invariant prior and a statistical model and argued that the resulting combination of prior with likelihood provided a probability description of an unknown parameter value in an application; the combination in particular contexts with inva