Answers are grounded in this paper and cite their sources.
The paper investigates the structure of the self-consistent estimators (SCE) and the nonparametric maximum likelihood estimator (NPMLE) for doubly censored data. An explicit sufficient and necessary condition for an SCE to be the NPMLE is given. Based on this, algorithms for computing the SCE and the NPMLE are provided. The relation between our algorithms and the EM algorithm is studied.
No takes yet. Share an insight, caveat, or question.
Mykland et al. (1996) studied this question.
Synapse has enriched 5 related papers. Consider them for comparative context: