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 Fitting with Long-Memory, Short-Memory and Antipersistent Errors

Author info | Abstract | Publisher info | Download info | Related research | Statistics
Author Info
Jan Beran ()
Yuanhua Feng ()

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:1022469818068
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): 54 (2002)
Issue (Month): 2 (June)
Pages: 291-311
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:54:y:2002:i:2:p:291-311

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: Antipersistence; long-range dependence; local polynomial fitting; nonparametric regression; bandwidth selection;

References listed on IDEAS
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. Jan Beran & Yuanhua Feng, 2000. "Data-driven estimation of semiparametric fractional autoregressive models," CoFE Discussion Paper 00-16, Center of Finance and Econometrics, University of Konstanz. [Downloadable!]
Full references

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. Jan Beran & Yuanhua.Feng, 2001. "Iterative plug-in algorithms for SEMIFAR models - definition, convergence and asymptotic properties," CoFE Discussion Paper 01-11, Center of Finance and Econometrics, University of Konstanz. [Downloadable!]
  2. Yuanhua Feng & Jan Beran, 2007. "Optimal Convergence Rates in Nonparametric Regression with Fractional Time Series Errors," CoFE Discussion Paper 07-15, Center of Finance and Econometrics, University of Konstanz. [Downloadable!]
    Other versions:
  3. Jan Beran & Yuanhua Feng & Günter Franke & Dieter Hess & Dirk Ocker, 1999. "SEMIFAR Models, with Applications to Commodities, Exchange Rates and the Volatility of Stock Market Indices," CoFE Discussion Paper 99-18, Center of Finance and Econometrics, University of Konstanz. [Downloadable!]
  4. Jan Beran & Yuanhua Feng, 1999. "Local Polynomial Estimation with a FARIMA-GARCH Error Process," CoFE Discussion Paper 99-08, Center of Finance and Econometrics, University of Konstanz. [Downloadable!]
  5. Yuanhua Feng, 2002. "Simultaneously Modelling Conditional Heteroskedasticity and Scale Change," CoFE Discussion Paper 02-12, Center of Finance and Econometrics, University of Konstanz. [Downloadable!]
    Other versions:
  6. Yuanhua Feng, 2003. "Kernel Dependent Functions in Nonparametric Regression with Fractional Time Series Errors kernel dependent function, bandwidth selection," CoFE Discussion Paper 03-02, Center of Finance and Econometrics, University of Konstanz. [Downloadable!]
  7. Klaus Abberger, 2004. "Nonparametric Regression and the Detection of Turning Points in the Ifo Business Climate," CESifo Working Paper Series CESifo Working Paper No. , CESifo Group Munich. [Downloadable!]
  8. Jan Beran, 2002. "Prediction of 0-1-events for short- and long-memory time series," CoFE Discussion Paper 02-11, Center of Finance and Econometrics, University of Konstanz. [Downloadable!]
  9. Yuanhua Feng, 2002. "An Iterative Plug-In Algorithm for Nonparametric Modelling of Seasonal Time Series," CoFE Discussion Paper 02-04, Center of Finance and Econometrics, University of Konstanz. [Downloadable!]
  10. Jan Beran & Yuanhua.Feng, 2002. "Recent Developments in Non- and Semiparametric Regression with Fractional Time Series Errors," CoFE Discussion Paper 02-13, Center of Finance and Econometrics, University of Konstanz. [Downloadable!]
Statistics
Access and download statistics

Did you know? You too can volunteer for RePEc, for example by providing information about publications in your institution.

This page was last updated on 2009-12-30.

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.