Comparison of Mixture and Classification Maximum Likelihood Approaches in Poisson Regression Models
In this work, we propose to compare two algorithms to compute maximum likelihood estimators of the parameters of a mixture Poisson regression models. To estimate these parameters, we may use the EM algorithm in a mixture approach or the CEM algorithm in a classification approach. The comparison of t...
| Autor principal: | |
|---|---|
| Outros Autores: | |
| Formato: | conferenceObject |
| Idioma: | eng |
| Publicado em: |
2011
|
| Assuntos: | |
| Texto completo: | http://hdl.handle.net/10451/4713 |
| País: | Portugal |
| Oai: | oai:repositorio.ul.pt:10451/4713 |