Estimating additive models with missing responses
For multivariate regressors, the Nadaraya-Watson regression estimator suffers from the well-known curse of dimensionality. Additive models overcome this drawback. To estimate the additive components, it is usually assumed that we observe all the data. However, in many applied statistical analysis mi...
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Autores principales: | Boente, G., Martínez, A.M. |
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Formato: | JOUR |
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Acceso en línea: | http://hdl.handle.net/20.500.12110/paper_03610926_v45_n2_p413_Boente |
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