Estimation with Univariate " Mixed Case " Interval Censored Data

@inproceedings{Song2002EstimationWU,
  title={Estimation with Univariate " Mixed Case " Interval Censored Data},
  author={Shuguang Song},
  year={2002}
}
In this paper, we study the Nonparametric Maximum Likelihood Estimator (NPMLE) of univariate “Mixed Case” interval-censored data in which the number of observation times, and the observation times themselves are random variables. We provide a characterization of the NPMLE, then use the ICM algorithm to compute the NPMLE. We also study the asymptotic properties of the NPMLE: consistency, global rates of convergence with and without a separation condition, and an asymptotic minimax lower bound. 

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