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Multivariate mixtures of Erlangs for density estimation under censoring

Roel Verbelen1, Katrien Antonio2,3, Gerda Claeskens2

  • 1Faculty of Economics and Business, Leuven Statistics Research Center, KU Leuven, Leuven, Belgium. roel.verbelen@kuleuven.be.

Lifetime Data Analysis
|September 6, 2015
PubMed

Keywords:
Censored dataDensity estimationExpectation–maximization algorithmMaximum likelihoodMultivariate mixtures of Erlangs with a common scale parameter

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