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: | conferenceObject |
| Language: | eng |
| Published: |
2011
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| Online Access: | http://hdl.handle.net/10451/4713 |
| Country: | Portugal |
| Oai: | oai:repositorio.ul.pt:10451/4713 |