Bayes' rule and hidden variables
β Scribed by Stanley Gudder; Thomas Armstrong
- Book ID
- 104916492
- Publisher
- Springer US
- Year
- 1985
- Tongue
- English
- Weight
- 489 KB
- Volume
- 15
- Category
- Article
- ISSN
- 0015-9018
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
Suppose that the random variable X is distributed according to exponential families of distributions, conditional on the parameter 0. Assume that the parameter 0 has a (prior) distribution G. Because of the measurement error, we can only observe Y = X+e, where the measurement error e is independent
Let us consider a general population R. Each object belonging to the population R is characterized by a pair of correlated random vectors (& I). Both X and \_Y may be mixtures of discrete and continuous random variables. It will be assumed that our population R consists of k groups nl, ..., 3zk, whi