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Dong Q., Luo Y., Wang Y., Xu P.* (2025). Sufficient dimension reduction for multiple compositional predictors. Communications in Mathematics and Statistics, https://doi.org/10.1007/s40304-024-00422-5.
Liu T., Xu X., Wang T.*, Xu P.* (2025). CRAmed: a conditional randomization test for high-dimensional mediation analysis in sparse microbiome data. Bioinformatics, 41(2): btaf03.
Xu P., Wang T*., Zhu L. (2024). Data-driven slicing for dimension reduction in regressions: A likelihood-ratio approach. Science in China Series A: Mathematics, 67, 647-664.
Liu T., Xu P., Du Y., Lu H., Zhao H., Wang T.* (2022). MZINBVA: Variational approximation for multilevel zero-inflated negative-binomial models for association analysis in microbiome surveys. Briefings in Bioinformatics, 23, 1-12.
Xu P., Wang T.* (2021). On supervised reduction and its dual. Statistica Sinica, 31, 701-722.
Xu P., Lee Y., Shi J.Q.*, Eyre J. (2019). Automatic detection of significant areas for functional data with directional error control. Statistics in Medicine, 38, 376-397.
Xu P., Peng H., Huang T.* (2018). Unsupervised learning of mixture regression models for longitudinal data. Computational Statistics and Data Analysis, 125, 44-56.
Xu P.*, Zhang J., Huang X., Wang T. (2016). Efficient estimation for marginal generalized partially linear single-index models with longitudinal data. TEST, 25, 413-431.
Xu P., Zhu L., Zhu J., Li Y.* (2015). Covariance-enhanced discriminant analysis. Biometrika, 102, 33-45.
Xu P., Zhu L., Li Y.* (2014). Ultrahigh dimensional time course feature selection. Biometrics, 70, 356-365.
Wang T., Guo X., Zhu L.*, Xu P. (2014). Transformed sufficient dimension reduction. Biometrika, 101, 815-829.
