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The Robust EM-type Algorithms for Log-concave Mixtures of Regression Models
Finite mixture of regression (FMR) models can be reformulated as incomplete data problems and they can be estimated via the expectation-maximization (EM) algorithm. The main drawback is the strong parametric assumption such as FMR models with normal distributed residuals. The estimation might be bia...
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| Publicado no: | Comput Stat Data Anal |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2017
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5609737/ https://ncbi.nlm.nih.gov/pubmed/28947841 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.csda.2017.01.004 |
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