On prediction-powered inference for quantile regression via convolution smoothing

Shota Takeishi, Jimin Ding, Xuming He

This paper studies quantile regression in a data-limited setting where the gold-standard outcome is available only for a limited number of observations, whereas a surrogate outcome…