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    How to estimate a cumulative process’s rate-function

    Duffy, Ken R. and Metcalfe, Anthony P. (2005) How to estimate a cumulative process’s rate-function. Journal of Applied Probability, 42 (4). pp. 1044-1052. ISSN 0021-9002

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    Consider two sequences of bounded random variables, a value and a timing process, that satisfy the large deviation principle (LDP) with rate-function J(·,·) and whose cumulative process satisfies the LDP with rate-function I(·). Under mixing conditions, an LDP for estimates of I constructed by transforming an estimate of J is proved. For the case of cumulative renewal processes it is demonstrated that this approach is favorable to a more direct method as it ensures the laws of the estimates converge weakly to a Dirac measure at I.

    Item Type: Article
    Keywords: Estimating large deviations; Cumulative process; Renewal process; Hamilton Institute.
    Academic Unit: Faculty of Science and Engineering > Research Institutes > Hamilton Institute
    Faculty of Science and Engineering > Mathematics and Statistics
    Item ID: 1844
    Depositing User: Hamilton Editor
    Date Deposited: 15 Feb 2010 15:38
    Journal or Publication Title: Journal of Applied Probability
    Publisher: Applied Probability Trust
    Refereed: Yes
    Use Licence: This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

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