Lan Wang
University of Miami
H-index: 26
North America-United States
Top articles of Lan Wang
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Analysis of global and local optima of regularized quantile regression in high dimensions: A subgradient approach | Econometric Theory | Lan Wang Xuming He | 2024/4 |
Fairness-oriented learning for optimal individualized treatment rules | Journal of the American Statistical Association | Ethan X Fang Zhaoran Wang Lan Wang | 2021 |
Model-assisted uniformly honest inference for optimal treatment regimes in high dimension | Journal of the American Statistical Association | Yunan Wu Lan Wang Haoda Fu | 2023/1/2 |
Transformation-invariant Learning of optimal individualized decision rules with time-to-event outcomes | Journal of the American Statistical Association | Yu Zhou Lan Wang Rui Song Tuoyi Zhao | 2023/10/2 |
Quantile partially linear additive model for data with dropouts and an application to modeling cognitive decline | Statistics in Medicine | Adam Maidman Lan Wang Xiao‐Hua Zhou Ben Sherwood | 2023/7/20 |
Analysis of animal-related electric outages using species distribution models and community science data | Environmental Research: Ecology | Mei-Ling E Feng Olukunle O Owolabi Toryn LJ Schafer Sanhita Sengupta Lan Wang | 2022/8/30 |
A robust statistical analysis of the role of hydropower on the system electricity price and price volatility | Environmental Research Communications | Olukunle O Owolabi Kathryn Lawson Sanhita Sengupta Yingsi Huang Lan Wang | 2022/7/4 |
High-dimensional quantile regression: Convolution smoothing and concave regularization | Journal of the Royal Statistical Society Series B: Statistical Methodology | Kean Ming Tan Lan Wang Wen-Xin Zhou | 2022/2 |
Envelope quantile regression | Statistica Sinica | Shanshan Ding Zhihua Su Guangyu Zhu Lan Wang | 2021/1/1 |
Resampling-based confidence intervals for model-free robust inference on optimal treatment regimes | Biometrics | Yunan Wu Lan Wang | 2021/6 |
A tuning-free robust and efficient approach to high-dimensional regression | Journal of the American Statistical Association | Lan Wang Bo Peng Jelena Bradic Runze Li Yunan Wu | 2020/12/11 |
Double-slicing assisted sufficient dimension reduction for high-dimensional censored data | Shanshan Ding Wei Qian Lan Wang | 2020/8/1 | |
A survey of tuning parameter selection for high-dimensional regression | Yunan Wu Lan Wang | 2020/3/7 |
