EM algorithms for ML factor analysis
โ Scribed by Donald B. Rubin; Dorothy T. Thayer
- Book ID
- 111958455
- Publisher
- Springer
- Year
- 1982
- Tongue
- English
- Weight
- 554 KB
- Volume
- 47
- Category
- Article
- ISSN
- 0033-3123
No coin nor oath required. For personal study only.
๐ SIMILAR VOLUMES
Maximum likelihood estimation of the multivariate t distribution, especially with unknown degrees of freedom, has been an interesting topic in the development of the EM algorithm. After a brief review of the EM algorithm and its application to finding the maximum likelihood estimates of the paramete
## Abstract The expectation maximization (EM) algorithm is an iterative procedure used to determine maximum likelihood estimators in situations of incomplete data. In the case of independent Poisson variables it converges to a solution of a problem of the form min โ[ใ__a__^i^,__x__ใ โ __b__~i~ log