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...
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| Format: | conferencePaper |
| Language: | eng |
| Published: |
2008
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| Online Access: | http://hdl.handle.net/1822/26551 |
| Country: | Portugal |
| Oai: | oai:repositorium.sdum.uminho.pt:1822/26551 |