Wu, Y. and Wang, L. (2020), "A Survey of Tuning Parameter Selection for High-dimensional Regression", Annual Review of Statistics and Its Application, Vol. 7, Issue 1, pp. 209-226.
Wang, L., Peng, B., Bradic, J., Li, R. and Wu, Y. (2020), "A Tuning-free Robust and Efficient Approach to High-dimensional Regression", Journal of the American Statistical Association, 115:532, 1700-1714. [R-Github] [CRAN] [Python Github] [PyPI] [TestPyPI]
Wang, L., Peng, B., Bradic, J., Li, R. and Wu, Y. (2020), "Rejoinder to 'A Tuning-Free Robust and Efficient Approach to High-Dimensional Regression'", Journal of the American Statistical Association, 115:532, 1726-1729.
Wu, Y. and Wang, L. (2021), "Resampling-based Confidence Intervals for Model-free Robust Inference on Optimal Treatment Regimes", Biometrics, 77: 465– 476. [Github] [CRAN]
Wu, Y., Wang, L. and Fu, H. (2023), "Model-Assisted Uniformly Honest Inference for Optimal Treatment Regimes in High Dimension", Journal of the American Statistical Association, 118:541, 305-314.
Wang, B., Wu, Y., and Ye, C. (2023). "The ART of Transfer Learning: An Adaptive and Robust Pipeline", Stat, 12(1), e582.
Wu, Y. and Wang, L., "A direct approach to high-dimensional error-in-variables regression", in preparation.
Wu, Y. and Wang, L., "High-dimensional error-in-variables regression with replicate measurements in causal inference", in preparation.
Zhang, Z., Wu, S., and Wu, Y., "Differentially Private Markov Model Calibration', in preparation.