Fitting mixtures of linear regressions
In most applications, the parameters of a mixture of linear regression models are estimated by maximum likelihood using the expectation maximization (EM) algorithm. In this article, we propose the comparison of three algorithms to compute maximum likelihood estimates of the parameters of these model...
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| Formato: | article |
| Idioma: | eng |
| Publicado em: |
2011
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| Texto completo: | http://hdl.handle.net/10451/4682 |
| País: | Portugal |
| Oai: | oai:repositorio.ul.pt:10451/4682 |