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Generated covariates in nonparametric estimation: a short review

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In many applications, covariates are not observed but have to be estimated from data. We outline some regression-type models where such a situation occurs and discuss estimation of the regression function in this context. We review theoretical results on how asymptotic properties of nonparametric es...

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Main Authors: Mammen, Enno (Author) , Rothe, Christoph (Author) , Schienle, Melanie (Author)
Format: Chapter/Article Conference Paper
Language:English
Published: 2013
In: Recent Developments in Modeling and Applications in Statistics
Year: 2012, Pages: 97-105
Online Access:Verlag, Volltext: https://link.springer.com/chapter/10.1007/978-3-642-32419-2_11
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Author Notes:Enno Mammen, Christoph Rothe, Melanie Schienle
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Generated covariates in nonparametric estimation: a short review by Mammen, Enno (Author) , Rothe, Christoph (Author) , Schienle, Melanie (Author) ,


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Generated covariates in nonparametric estimation: a short review by Mammen, Enno (Author) , Rothe, Christoph (Author) , Schienle, Melanie (Author) ,


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