Censored Data
By Michael G. Akritas, I. Van Keilegom. 2021
40 citations recorded by the source corpus.
estimators for the bivariate and marginal distributions of these variables are proposed. The estimators of the marginal distributions are not the marginals of the corresponding estimator of the bivariate distribution. Both estimators require estimation of the conditional distribution when the conditioning variable is subject to censoring. Such a method of estimation is proposed. The weak convergence of the estimators proposed is obtained. A small simulation study suggests that the estimators of the marginal and bivariate distributions perform well relatively to respectively the Kaplan-Meier estimator for the marginal distribution and the estimators of Pruitt and van der Laan for the bivariate distribution. The use of the estimators in practice is illustrated by the analysis of a data set.
Subfields: Political Science and International Relations
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- Thomas Unterthiner
- Michael Widrich
- José Antonio Arjona-Medina
- J. Urgen Schmidhuber
- Wojciech Samek
- Michael Gillhofer
- Yoshua Bengio
- Sepp Hochreiter
Citations in the corpus
- RUDDER: Return Decomposition for Delayed Rewards (2018, methodology): “To resolve this bias the quantiles of the learning time are estimated by fitting a distribution using right censored data [26] .”