Bayesian Semiparametric Inference for the Accelerated Failure Time Model

@inproceedings{Kuo1997BayesianSI,
  title={Bayesian Semiparametric Inference for the Accelerated Failure Time Model},
  author={Lynn Kuo},
  year={1997}
}
Bayesian semi-parametric inference is considered for a log-linear model. This model consists of a parametric component for the regression coeecients and a nonparametric component for the unknown error distribution. Bayesian analysis is studied for the case of a parametric prior on the regression coeecients and a mixture-of-Dirichlet-processes prior on the unknown error distribution. A Markov chain Monte Carlo (MCMC) method is developed to compute the features of the posterior distribution. A… CONTINUE READING

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