47 citations · 111 across the 9 of their papers we have counts for
9 papers
Theoretical Properties of Multivariate Random Forest in Feature Selection and its Application to Facial Morphology-Gene Detection
Yangsheng Wang, Samruddhi Thakar, Anton Schick +1
This work establishes a theoretical foundation for joint feature selection with multivariate outcomes, positioning the permutation-based variable importance measure (PVIM) of multi…
Estimating the error distribution function in nonparametric regression
Ursula U. Müller, Anton Schick, Wolfgang Wefelmeyer
We construct an efficient estimator for the error distribution function of the nonparametric regression model Y = r(Z) + e. Our estimator is a kernel smoothed empirical distributio…
Uniform convergence of convolution estimators for the response density in nonparametric regression
Anton Schick, Wolfgang Wefelmeyer
We consider a nonparametric regression model with a random covariate that is independent of the error . Then the density of the response i…
Empirical likelihood approach to goodness of fit testing
Hanxiang Peng, Anton Schick
Motivated by applications to goodness of fit testing, the empirical likelihood approach is generalized to allow for the number of constraints to grow with the sample size and for t…
The transfer principle: A tool for complete case analysis
Hira L. Koul, Ursula U. Müller, Anton Schick
This paper gives a general method for deriving limiting distributions of complete case statistics for missing data models from corresponding results for the model where all data ar…
Optimality of estimators for misspecified semi-Markov models
Ursula U. Müller, Anton Schick, Wolfgang Wefelmeyer
Suppose we observe a geometrically ergodic semi-Markov process and have a parametric model for the transition distribution of the embedded Markov chain, for the conditional distrib…