In this paper, we study Bayesian asymptotic properties of the proportional hazards model where link function is modeled by generalized additive model. As standard is, a useful tool in finding nonlinearity covariate effects to survival times. We develop data-dependent sieve prior for and use bootstrap baseline hazard function. prove that posterior contraction rate minimax optimal up logn term wh...

Survival models for life-time data and other time-to-event data are widely used in many fields, including medicine, the environmental sciences, engineering etc., but they have still found less recognition in economics, however they are very helpful in the analysis of economic duration data. This paper provides a reanalysis of the Pennsylvania Reemployment Bonus Experiments, which were conducted...

Competing risks refer to the situation where there are multiple causes of failure and occurrence one type event prohibits other types or alters chance observe them. In large cohort studies with long-term follow-up, often competing risks. When events rare, information on certain risk factors is difficult costly measure for full cohort, a case-cohort study design can be desirable approach. this p...

The marginal proportional hazards frailty model for multivariate failure time data characterizes the intracluster dependency with the frailty model while formulating the marginal distributions with the proportional hazards model. The gamma frailty distribution has been widely used to model intracluster dependency because of its simple interpretation and mathematical tractability. Glidden (2000)...

This paper reviews some of the major macroscopic and kinetic mathematical models of vehicular traffic available in the specialized literature. Application to road networks is also discussed, and an extensive list of references is provided to both the original works presented here and other sources for further details. Microscopic models are only briefly recalled in the Introduction for the sake...

Measures of divergence or discrepancy are used either to measure mutual information concerning two variables or to construct model selection criteria. In this paper we are focusing on divergence measures that are based on a class of measures known as Csiszar’s divergence measures. In particular, we propose a measure of divergence between residual lives of two items that have both survived up to...