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A Bayesian Hierarchical Model for Classification with Selection of Functional Predictors
SUMMARY: In functional data classification, functional observations are often contaminated by various systematic effects, such as random batch effects caused by device artifacts, or fixed effects caused by sample-related factors. These effects may lead to classification bias and thus should not be n...
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| Autors principals: | , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
2009
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3042776/ https://ncbi.nlm.nih.gov/pubmed/19508236 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1111/j.1541-0420.2009.01283.x |
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