4 papers
Causal Inference for Heterogeneous Extreme Quantiles with Heavy-Tailed Outcomes
Xiaorui Wang, Juan-Juan Cai, Huixia Judy Wang +2
We propose a framework for estimating conditional extreme quantile treatment effects (CEQTEs) in observational studies with heavy-tailed outcomes. Our procedure first estimates int…
Distribution-Free Prediction Sets for Regression under Target Shift
Menghan Yi, Yanlin Tang, Huixia Judy Wang
In real-world applications, the limited availability of labeled outcomes presents significant challenges for statistical inference due to high collection costs, technical barriers,…
Heterogeneous Quantile Treatment Effect Estimation for Longitudinal Data with High-Dimensional Confounding-v2
Zhixin Qiu, Huichen Zhu, Wenjie Wang +1
Causal inference plays a fundamental role in various real-world applications. However, in the motivating non-small cell lung cancer (NSCLC) study, it is challenging to estimate the…
High-dimensional inference for single-index model with latent factors
Yanmei Shi, Meiling Hao, Yanlin Tang +2
Models with latent factors recently attract a lot of attention. However, most investigations focus on linear regression models and thus cannot capture nonlinearity. To address this…