A new strategy for choosing initial for the EM algorithm in poisson regression models
The EM algorithm is the standard tool for maximum likelihood estimation in finite mixture models. Its most important drawbacks are the slow convergence, the need for a suitable stopping criterion and the choice of the initial values. In this paper, we focus on the issue of selecting initial values f...
| Autor principal: | |
|---|---|
| Outros Autores: | |
| Formato: | article |
| Idioma: | eng |
| Publicado em: |
2013
|
| Assuntos: | |
| Texto completo: | http://hdl.handle.net/1822/26888 |
| País: | Portugal |
| Oai: | oai:repositorium.sdum.uminho.pt:1822/26888 |