16 citations · 38 across the 6 of their papers we have counts for
5 papers · 1 filter
Confidence intervals for high-dimensional Cox models
Yi Yu, Jelena Bradic, Richard J. Samworth
The purpose of this paper is to construct confidence intervals for the regression coefficients in high-dimensional Cox proportional hazards regression models where the number of co…
Fixed effects testing in high-dimensional linear mixed models
Jelena Bradic, Gerda Claeskens, Thomas Gueuning
Many scientific and engineering challenges -- ranging from pharmacokinetic drug dosage allocation and personalized medicine to marketing mix (4Ps) recommendations -- require an und…
Breaking the curse of dimensionality in regression
Yinchu Zhu, Jelena Bradic
Models with many signals, high-dimensional models, often impose structures on the signal strengths. The common assumption is that only a few signals are strong and most of the sign…
Comments on `High-dimensional simultaneous inference with the bootstrap'
Jelena Bradic, Yinchu Zhu
We provide comments on the article "High-dimensional simultaneous inference with the bootstrap" by Ruben Dezeure, Peter Buhlmann and Cun-Hui Zhang.
A projection pursuit framework for testing general high-dimensional hypothesis
Yinchu Zhu, Jelena Bradic
This article develops a framework for testing general hypothesis in high-dimensional models where the number of variables may far exceed the number of observations. Existing litera…