Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
7380708 | Physica A: Statistical Mechanics and its Applications | 2014 | 6 Pages |
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.
Related Topics
Physical Sciences and Engineering
Mathematics
Mathematical Physics
Authors
Trevor Fenner, Mark Levene, George Loizou,