Nonparametric regression estimation at design poles and zeros
Hengartner, N. W. & Linton, O.
(1996).
Nonparametric regression estimation at design poles and zeros.
Canadian Journal of Statistics,
24(4), 583-591.
https://doi.org/10.2307/3315335
In most treatments of nonparametric regression, it is assumed that the marginal density of the explanatory variables is strictly bounded away from zero and infinity. This note investigates the pointwise asymptotics for nonparametric regression when this assumption fails, that is, the marginal density of the explanatory variable has either an isolated zero or a pole at the point of interest.
| Item Type | Article |
|---|---|
| Copyright holders | © 1996 John Wiley & Sons |
| Departments | LSE > Academic Departments > Economics |
| DOI | 10.2307/3315335 |
| Date Deposited | 27 Apr 2007 |
| URI | https://researchonline.lse.ac.uk/id/eprint/1500 |
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