Please use this identifier to cite or link to this item: https://www.um.edu.mt/library/oar/handle/123456789/92122
Title: Choosing tuning instruments for generalized Rubin-Tucker Lévy measure estimators
Authors: Sant, Lino
Caruana, Mark Anthony
Keywords: Lévy processes
Parameter estimation
Theory of distributions (Functional analysis)
Issue Date: 2017
Publisher: ISAST: International Society for the Advancement of Science and Technology
Citation: Sant, L., & Caruana, M. A. (2017). Choosing tuning instruments for generalized Rubin-Tucker Lévy measure estimators. 17th Applied Stochastic Models and Data Analysis International Conference with Demographics Workshop, ASMDA 2017 proceedings. London, UK, 895-908.
Abstract: Estimation of the Lévy measure through the increments of a Lévy process is a problem which attracted much attention over recent decades. The first such estimator comes much earlier from Rubin and Tucker but it has not been much in use. Its performance is not satisfactory and researchers have tried alternatives. Various issues surround this statistical problem, most notably the behavior of the Lévy measure at the origin. Even increments from BM yield poor estimates. But Rubin-Tucker type estimators, that is distribution function estimators constructed out of increments Xik coming from sample path values proposed in the more general form. [Excerpt]
URI: https://www.um.edu.mt/library/oar/handle/123456789/92122
ISBN: 9786185180232
Appears in Collections:Scholarly Works - FacSciSOR

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