Stratified regression-based variance reduction approach for weak approximation schemes
D. Belomestny,
S. Häfner and
M. Urusov
Mathematics and Computers in Simulation (MATCOM), 2018, vol. 143, issue C, 125-137
Abstract:
In this paper we suggest a modification of the regression-based variance reduction approach recently proposed in Belomestny et al. [1]. This modification is based on the stratification technique and allows for a further significant variance reduction. The performance of the proposed approach is illustrated by several numerical examples.
Keywords: Control variates; Stratification; Monte Carlo methods; Weak schemes; Regression (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0378475417301891
Full text for ScienceDirect subscribers only
Related works:
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:eee:matcom:v:143:y:2018:i:c:p:125-137
DOI: 10.1016/j.matcom.2017.05.003
Access Statistics for this article
Mathematics and Computers in Simulation (MATCOM) is currently edited by Robert Beauwens
More articles in Mathematics and Computers in Simulation (MATCOM) from Elsevier
Bibliographic data for series maintained by Catherine Liu ().