39 citations · 65 across the 4 of their papers we have counts for
4 papers
Penalized regression with multiple loss functions and selection by vote
Guorong Dai, Ursula U. Müller
This article considers a linear model in a high dimensional data scenario. We propose a process which uses multiple loss functions both to select relevant predictors and to estimat…
Data integration in high dimension with multiple quantiles
Guorong Dai, Ursula U. Müller, Raymond J. Carroll
This article deals with the analysis of high dimensional data that come from multiple sources (experiments) and thus have different possibly correlated responses, but share the sam…
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…
Estimating linear functionals in nonlinear regression with responses missing at random
Ursula U. Müller
We consider regression models with parametric (linear or nonlinear) regression function and allow responses to be ``missing at random.'' We assume that the errors have mean zero an…