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Computation of the MLE for bivariate interval censored data

Computation of the MLE for bivariate interval censored data

This video was recorded at Workshop on Algorithms in Complex Systems, Eindhoven 2007. I will discuss the new R-package 'MLEcens', which computes the nonparametric maximum likelihood estimator (MLE) for the distribution function of bivariate interval censored data. The computation of the MLE consists of two steps: a parameter reduction step and an optimization step. I will discuss algorithms for both steps. I will also illustrate the R-package using several examples.

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