Transfer Learning for High-dimensional Quantile Regression with
Distribution Shift
Transfer Learning for High-dimensional Quantile Regression with
Distribution Shift
Information from related source studies can often enhance the findings of a target study. However, the distribution shift between target and source studies can severely impact the efficiency of knowledge transfer. In the high-dimensional regression setting, existing transfer approaches mainly focus on the parameter shift. In this paper, we focus …