Efficient estimation of semiparametric transformation models for counting processes

By Donglin Zeng, Danyu Lin. 2006

222 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/571c708e50d06abce58484e0caf35358b349aba8

How researchers see this paper

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In Artificial Intelligence

1. Yi-Hau Chen

In Statistics and Probability

1. Yi-Hau Chen

Citations in the corpus

• Semiparametric marginal regression analysis for dependent competing risks under an assumed copula (2010, background): “Zeng and Lin (2006, 2007) have introduced this quasi-Newton method for non-parametric maximum likelihood estimation of semiparametric transformation models under independent censoring. Our proposal is very suitable for applying this algorithm, since efficient and stable implementation of this algori”