A Bayesian Approach to Model Interdependent Event Histories by Graphical Models |
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Authors: | Emanuela Dreassi Anna Gottard |
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Institution: | (1) Department of Statistics “G. Parenti”, University of Florence, Viale Morgagni 59, 50134 Florence, Italy |
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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. |
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Keywords: | Event history analysis Interdependent marked point processes Frailty models Semi-parametric Bayesian models |
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