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The strong weak convergence of the quasi-EA
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Peluchetti, Stefano, Roberts, Gareth O. and Casella, Bruno (2013) The strong weak convergence of the quasi-EA. Queueing Systems, Volume 73 (Number 4). pp. 447-460. doi:10.1007/s11134-013-9351-0 ISSN 0257-0130.
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Official URL: http://dx.doi.org/10.1007/s11134-013-9351-0
Abstract
In this paper, we investigate the convergence of a novel simulation scheme to the target diffusion process. This scheme, the Quasi-EA, is closely related to the Exact Algorithm (EA) for diffusion processes, as it is obtained by neglecting the rejection step in EA. We prove the existence of a myopic coupling between the Quasi-EA and the diffusion. Moreover, an upper bound for the coupling probability is given. Consequently we establish the convergence of the Quasi-EA to the diffusion with respect to the total variation distance.
Item Type: | Journal Article | ||||
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Subjects: | Q Science > QA Mathematics | ||||
Divisions: | Faculty of Science, Engineering and Medicine > Science > Statistics | ||||
Library of Congress Subject Headings (LCSH): | Stochastic differential equations, Differential equations, Brownian motion processes | ||||
Journal or Publication Title: | Queueing Systems | ||||
Publisher: | Spring New York LLC | ||||
ISSN: | 0257-0130 | ||||
Official Date: | April 2013 | ||||
Dates: |
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Volume: | Volume 73 | ||||
Number: | Number 4 | ||||
Page Range: | pp. 447-460 | ||||
DOI: | 10.1007/s11134-013-9351-0 | ||||
Status: | Peer Reviewed | ||||
Publication Status: | Published | ||||
Access rights to Published version: | Open Access (Creative Commons) | ||||
Date of first compliant deposit: | 24 December 2015 | ||||
Date of first compliant Open Access: | 24 December 2015 | ||||
Funder: | Engineering and Physical Sciences Research Council (EPSRC) | ||||
Grant number: | EP/D505607/2, EP/20620/01, EP/S61577/01 (EPSRC) | ||||
Version or Related Resource: | Peluchetti, S., Roberts, G.O. and Casella, B. (2008). The strong weak convergence of the quasi-EA. [Coventry] : University of Warwick. Centre for Research in Statistical Methodology. (Working papers, no.08-18). http://wrap.warwick.ac.uk/id/eprint/35491 | ||||
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