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    A stochastic evolutionary model for survival dynamics

    Fenner, Trevor and Levene, Mark and Loizou, George (2014) A stochastic evolutionary model for survival dynamics. Physica A: Statistical Mechanics and its Applications 410 , pp. 595-600. ISSN 0378-4371.

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    Abstract

    The recent interest in human dynamics has led researchers to investigate the stochastic processes that explain human behaviour in different contexts. Here we propose a generative model to capture the essential dynamics of survival analysis, traditionally employed in clinical trials and reliability analysis in engineering. In our model, the only implicit assumption made is that the longer an actor has been in the system, the more likely it is to have failed. We derive a power-law distribution for the process and provide preliminary empirical evidence for the validity of the model from two well-known survival analysis data sets.

    Metadata

    Item Type: Article
    Keyword(s) / Subject(s): Survival analysis, Power-law distribution, Stochastic model
    School: Birkbeck Schools and Departments > School of Business, Economics & Informatics > Computer Science and Information Systems
    Research Centre: Birkbeck Knowledge Lab
    Depositing User: Professor Mark Levene
    Date Deposited: 24 Jul 2015 09:49
    Last Modified: 02 Dec 2016 13:23
    URI: http://eprints.bbk.ac.uk/id/eprint/12537

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