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Model Selection Criteria for Missing-Data Problems Using the EM Algorithm
We consider novel methods for the computation of model selection criteria in missing-data problems based on the output of the EM algorithm. The methodology is very general and can be applied to numerous situations involving incomplete data within an EM framework, from covariates missing at random in...
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| Huvudupphovsmän: | , , |
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| Materialtyp: | Artigo |
| Språk: | Inglês |
| Publicerad: |
2008
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| Ämnen: | |
| Länkar: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2728244/ https://ncbi.nlm.nih.gov/pubmed/19693282 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1198/016214508000001057 |
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