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- W3136239291 abstract "In the study of life tables the random variable of interest is usually assumed discrete since mortality rates are studied for integer ages. In dynamic life tables a time domain is included to account for the evolution effect of the hazard rates in time. In this article we follow a survival analysis approach and use a nonparametric description of the hazard rates. We construct a discrete time stochastic processes that reflects dependence across age as well as in time. This process is used as a bayesian nonparametric prior distribution for the hazard rates for the study of evolutionary life tables. Prior properties of the process are studied and posterior distributions are derived. We present a simulation study, with the inclusion of right censored observations, as well as a real data analysis to show the performance of our model." @default.
- W3136239291 created "2021-03-29" @default.
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- W3136239291 date "2022-03-17" @default.
- W3136239291 modified "2023-10-13" @default.
- W3136239291 title "Bayesian nonparametric dynamic hazard rates in evolutionary life tables" @default.
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- W3136239291 doi "https://doi.org/10.1007/s10985-022-09551-x" @default.
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