Bayesian bootstrap, empirical likelihood and bootstrap are different approaches based on the same idea, approximating the nonparametric model with the family of distributions whose supports are the set of observations. Based on this observation, we extended the Bayesian bootstrap framework to survival models with covariates and studied its large sample theory. The full Bayesian analysis of the proportional hazards models has been developed by many authors, but practitioners' routine use may be hampered due to the complexity of its computation.
Bayesian bootstrap gives an simple alternative.
The manuscript is available in postscript format.