329 citations · 434 across the 3 of their papers we have counts for
3 papers
Estimating high-dimensional intervention effects from observational data
Marloes H. Maathuis, Markus Kalisch, Peter Bühlmann
We assume that we have observational data generated from an unknown underlying directed acyclic graph (DAG) model. A DAG is typically not identifiable from observational data, but…
Current status data with competing risks: Limiting distribution of the MLE
Piet Groeneboom, Marloes H. Maathuis, Jon A. Wellner
We study nonparametric estimation for current status data with competing risks. Our main interest is in the nonparametric maximum likelihood estimator (MLE), and for comparison we…
Current status data with competing risks: Consistency and rates of Convergence of the MLE
Piet Groeneboom, Marloes H. Maathuis, Jon A. Wellner
We study nonparametric estimation of the sub-distribution functions for current status data with competing risks. Our main interest is in the nonparametric maximum likelihood estim…