Nonparametric Density Estimation for Linear Processes with Infinite Variance
Toshio Honda and
敏雄 本田
No 2005-13, Discussion Papers from Graduate School of Economics, Hitotsubashi University
Keywords: linear processes; kernel density estimator; domain of attraction; stable distribution; noncentral limit theorem; martingale central limit theorem (search for similar items in EconPapers)
Pages: 34 pages
Date: 2006-08
Note: February 2006; August 2006 (Revised)
References: Add references at CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
https://hermes-ir.lib.hit-u.ac.jp/hermes/ir/re/16959/070econDP05-13.pdf
Related works:
Journal Article: Nonparametric density estimation for linear processes with infinite variance (2009) 
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:hit:econdp:2005-13
Access Statistics for this paper
More papers in Discussion Papers from Graduate School of Economics, Hitotsubashi University Contact information at EDIRC.
Bibliographic data for series maintained by Digital Resources Section, Hitotsubashi University Library ().