Resource title

Regression quantiles with errors-in-variables

Resource image

image for OpenScout resource :: Regression quantiles with errors-in-variables

Resource description

In a lot of situations, variables are measured with errors. While this problem has been previously studied in the kontext of kernel regression, no work has been done in quantile regression. To estimate this function we use deconvoluting kernel estimators. The asymptotic behaviour of these estimators depends on the smoothness of the noise distribution.

Resource author

D. A. Ioannides, E. Matzner-Lober

Resource publisher

Resource publish date

Resource language

eng

Resource content type

text/html

Resource resource URL

http://hdl.handle.net/10419/22247

Resource license

Adapt according to the presented license agreement and reference the original author.