This file is part of IDEAS, which uses RePEc data


[ Papers | Articles | Software | Books | Chapters | Authors | Institutions | JEL Classification | NEP reports | Search | New papers by email | Author registration | Rankings | Volunteers | FAQ | Blog | Help! ]

Local Polynomial Regression: Optimal Kernels and Asymptotic Minimax Efficiency

Author info | Abstract | Publisher info | Download info | Related research | Statistics
Author Info
Jianqing Fan
Theo Gasser
Irène Gijbels
Michael Brockmann
Joachim Engel

Additional information is available for the following registered author(s):

Abstract

No abstract is available for this item.

Download Info
To download:

If you experience problems downloading a file, check if you have the proper application to view it first. Information about this may be contained in the File-Format links below. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL: http://hdl.handle.net/10.1023/A:1003162622169
File Format: text/html
File Function:
Download Restriction: Access to full text is restricted to subscribers.

As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.

Publisher Info
Article provided by Springer in its journal Annals of the Institute of Statistical Mathematics.

Volume (Year): 49 (1997)
Issue (Month): 1 (March)
Pages: 79-99
Download reference. The following formats are available: HTML (with abstract), plain text (with abstract), BibTeX, RIS (EndNote, RefMan, ProCite), ReDIF
Handle: RePEc:spr:aistmt:v:49:y:1997:i:1:p:79-99

Contact details of provider:
Web page: http://www.springerlink.com/link.asp?id=102845

Order Information:
Web: http://link.springer.de/orders.htm

For technical questions regarding this item, or to correct its listing, contact: (Christopher F Baum).

Related research
Keywords: Curve estimation; local polynomials; minimax efficiency; minimax risk; multivariate curve estimation; nonparametric regression; universal optimal weighting scheme;

Other versions of this item:

Cited by:
(explanations, Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.)
  1. Fröhlich, Markus & Puhani, Patrick A, 2002. "Immigration and Heterogeneous Labour in Western Germany: A Labour Market Classification Based on Nonparametric Estimation," CEPR Discussion Papers 3158, C.E.P.R. Discussion Papers. [Downloadable!] (restricted)
    Other versions:
  2. J. Vilar-Fernández & J. Vilar-Fernández, 1998. "Recursive Estimation of Regression Functions by Local Polynomial Fitting," Annals of the Institute of Statistical Mathematics, Springer, vol. 50(4), pages 729-754, December. [Downloadable!] (restricted)
  3. Paul W. Wilson & Kathleen Carey, 2004. "Nonparametric analysis of returns to scale in the US hospital industry," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 19(4), pages 505-524. [Downloadable!]
  4. David C. Wheelock & Paul Wilson, 2009. "Are U.S. banks too large?," Working Papers 2009-054, Federal Reserve Bank of St. Louis. [Downloadable!]
  5. Jose Galdo & Jeffrey Smith & Dan Black, 2007. "Bandwidth Selection and the Estimation of Treatment Effects with Unbalanced Data," IZA Discussion Papers 3095, Institute for the Study of Labor (IZA). [Downloadable!]
Statistics
Access and download statistics

Did you know? You can import bibliographic info in various formats into you bibliographic tool, or just into your word processor. See under "publisher info" on each abstract page.

This page was last updated on 2009-12-4.


This information is provided to you by IDEAS at the Department of Economics, College of Liberal Arts and Sciences, University of Connecticut using RePEc data on a server sponsored by the Society for Economic Dynamics.