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A Bayesian Approach to Model Interdependent Event Histories by Graphical Models
Authors:Emanuela Dreassi  Anna Gottard
Institution:(1) Department of Statistics “G. Parenti”, University of Florence, Viale Morgagni 59, 50134 Florence, Italy
Abstract:In event history analysis, the problem of modeling two interdependent processes is still not completely solved. In a frequentist framework, there are two most general approaches: the causal approach and the system approach. The recent growing interest in Bayesian statistics suggests some interesting works on survival models and event history analysis in a Bayesian perspective. In this work we present a possible solution for the analysis of dynamic interdependence by a Bayesian perspective in a graphical duration model framework, using marked point processes. Main results from the Bayesian approach and the comparison with the frequentist one are illustrated on a real example: the analysis of the dynamic relationship between fertility and female employment.
Keywords:Event history analysis  Interdependent marked point processes  Frailty models  Semi-parametric Bayesian models
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