| Smoothed Quantile Regression with Large-Scale Inference X He, X Pan, KM Tan, WX Zhou Journal of Econometrics 232 (2), 367-388, 2023 | 66 | 2023 |
| Iteratively Reweighted -Penalized Robust Regression X Pan, Q Sun, WX Zhou Electronic Journal of Statistics 15, 3287-3348, 2021 | 24* | 2021 |
| Multiplier bootstrap for quantile regression: non-asymptotic theory under random design X Pan, WX Zhou Information and Inference: A Journal of the IMA 10 (3), 813-861, 2021 | 13 | 2021 |
| A unified algorithm for penalized convolution smoothed quantile regression R Man, X Pan, KM Tan, WX Zhou Journal of Computational and Graphical Statistics, 1-13, 2023 | 10 | 2023 |
| Scalable estimation and inference for censored quantile regression process X He, X Pan, KM Tan, WX Zhou The Annals of Statistics 50 (5), 2899-2924, 2022 | 9 | 2022 |
| Farmtest: An r package for factor-adjusted robust multiple testing K Bose, J Fan, Y Ke, X Pan, W Zhou The R Journal 12 (2), 372-387, 2021 | 1 | 2021 |
| Package ‘conquer’ X He, X Pan, KM Tan, WX Zhou, MX Pan | | 2023 |
| Package ‘adaHuber’ X Pan, WX Zhou, MX Pan | | 2022 |
| Scalable Quantile Learning X Pan University of California, San Diego, 2022 | | 2022 |
| Package ‘FarmTest’ X Pan, Y Ke, WX Zhou, MX Pan | | 2020 |
| Supplement to “Smoothed Quantile Regression with Large-Scale Inference” X He, X Pan, KM Tan, WX Zhou | | |
Wenxin ZhouDepartment of Information & Decision Sciences, University of Illinois at ChicagoVerified email at uic.edu
