Semiparametric estimation of marginal mark distribution

@inproceedings{Huang2006SemiparametricEO,
  title={Semiparametric estimation of marginal mark distribution},
  author={Yijian Huang and Kristin Berry},
  year={2006}
}
In many applications, the outcome of interest is a mark such that its observation is contingent upon occurrence of an event. With incomplete follow-up data, the marginal mark distribution is, however, nonparametrically nowhere identifiable in many practical situations. To address this problem, we suggest a semiparametric model that postulates a normal copula for the association between the mark and survival time, but leaves the marginals unspecified. We show identifiability of the marginal mark… CONTINUE READING

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Semiparametric estimation in copula models for bivariate sequential survival times.

  • Biometrical journal. Biometrische Zeitschrift
  • 2011
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