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 Faculties and Schools > Faculty of Science > School of Computing and Mathematical Sciences |
| Research Centres and Institutes: | Birkbeck Knowledge Lab |
| Depositing User: | Professor Mark Levene |
| Date Deposited: | 24 Jul 2015 09:49 |
| Last Modified: | 09 Aug 2023 12:36 |
| URI: | https://eprints.bbk.ac.uk/id/eprint/12537 |
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