A dynamic decision-making system that includes a mass of indistinguishable agents could manifest impressive heterogeneity. This kind of nonhomogeneity is postulated to result from macroscopic behavioral tactics employed by almost all involved agents. A StateSpace Based (SSB) mass event-history model is developed here to explore the potential existence of such macroscopic behaviors. By imposing ...

Garside et al. use event history methods to analyze topological data. We provide additional background on persistent homology contrast the hazard estimators used by with traditional approaches in data analysis. In particular, former is a local method, which has advantages and disadvantages, while global. also more persistence landscapes show how complete of this statistic improves its performan...

A dynamic decision-making system that includes a mass of indistinguishable agents could manifest impressive heterogeneity. This kind of non-homogeneity is postulated to result from macroscopic behavioral tactics employed by almost all involved agents. A State-Space Based (SSB) mass event-history model is developed here to explore the potential existence of such macroscopic behaviors. By imposin...

Several authors (e.g., Brüderl, Diekmann, Yamaguchi) derive hazard rate models of event history analysis from social diffusion processes. This paper also focuses on the integration of diffusion research and survival analysis. After a discussion of Diekmann’s flexible diffusion model, we present an alternative approach which clarifies theoretical differences between popular rate models (e.g., th...