Generated covariates in nonparametric estimation: a short review

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 est...

Full description

Saved in:
Bibliographic Details
Main Authors: Mammen, Enno (Author) , Rothe, Christoph (Author) , Schienle, Melanie (Author)
Format: Book/Monograph Working Paper
Language:English
Published: Berlin SFB 649, Economic Risk 2012
Series:SFB 649 discussion paper 2012-042
In: SFB 649 discussion paper (2012,42)

Subjects:
Online Access:Verlag, Volltext: http://sfb649.wiwi.hu-berlin.de/papers/pdf/SFB649DP2012-042.pdf
Download aus dem Internet, Stand: 27.06.2012, Volltext: http://hdl.handle.net/10419/79567
Get full text
Author Notes:Enno Mammen; Christoph Rothe; Melanie Schienle
Search Result 1

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


Get full text
Chapter/Article Conference Paper Online Resource
Search Result 2

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


Get full text
Chapter/Article Conference Paper