Asymptotic Expansion of the Empirical Process of Long Memory Moving Averages
By Hira L. Koul, Donatas Surgailis. 2002
100 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Finance, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/50ca5cdb6a264566618480f10930a1fc06e0c1b6
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Economics and Econometrics
- Wei Biao Wu
- Jean‐François Coeurjolly
- Xiaofeng Shao
- Zhou Zhou
- Weidong Liu
- Han Xiao
- István Berkes
- Matthieu Garcin
In Finance
- Jean‐François Coeurjolly
- Wei Biao Wu
- Xiaofeng Shao
- Zhou Zhou
- Weidong Liu
- István Berkes
- Andreas Hagemann
- Siegfried Hormann
In Statistics and Probability
- Jean‐François Coeurjolly
- Wei Biao Wu
- Tommaso Cai
- Andreas Hagemann
- Xiaohui Chen
- Xiaofeng Shao
- Lajos Horv'ath
- Wenguang Sun
Citations in the corpus
- Asymptotic theory for stationary processes (2011, background): “Wu and Mielniczuk (2002) and Ho and Hsing (1996) considered long-memory processes.”
- HURST EXPONENT ESTIMATION OF LOCALLY SELF-SIMILAR GAUSSIAN PROCESSES USING SAMPLE QUANTILES (2005, methodology): “Extensions of the above results to dependent random variables have been pursued in Sen and Ghosh (1972) for φ−mixing variables, in Yoshihara (1995) for strongly mixing variables, and recently in Wu (2005) for shortrange and long-range dependent linear processes, following works of Hesse (1990) and H”
- Asymptotic results for the empirical process of stationary sequences (2009, unknown): “For an overview and more references see also Giraitis and Surgailis [38] and Koul and Surgailis [46].”