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07/16/2023
A Data Fusion Method for Quantile Treatment Effects
With the increasing availability of datasets, developing data fusion met...
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12/01/2022
Transfer Learning for High-dimensional Quantile Regression via Convolution Smoothing
This paper studies the high-dimensional quantile regression problem unde...
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10/06/2021
Empirical likelihood inference for longitudinal data with covariate measurement errors: an application to the LEAN study
Measurement errors usually arise during the longitudinal data collection...
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08/18/2021
Weak signal identification and inference in penalized likelihood models for categorical responses
Penalized likelihood models are widely used to simultaneously select var...
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07/20/2020