Journal publications (peer-reviewed)
2024
Ma, S., Niu, P., Zhang, Y. and Zhu, Y. (2024). Statistical Inference For Noisy Matrix Completion Incorporating Auxiliary Information. Journal of the American Statistical Association. Accepted. Link R codes are available at Link
Cheng, X., Huang, K., and Ma, S. (2024). SleepEGAN: A GAN-enhanced Ensemble Deep Learning Model for Imbalanced Classification of Sleep Stages. Biomedical Signal Processing and Control. Accepted. Python codes are available at Link
Lv, J. and Ma, S. (2024). Optimal Conditional Quantile Prediction via Model Averaging of Partially Linear Additive Models. Statistica Sinica. Forthcoming. Link
2023
Chen, X., Liu, Y. , Ma, S. and Zhang, Z. (2020). Causal Inference of General Treatment Effects using Neural Networks with A Diverging Number of Confounders. Journal of Econometrics. Forthcoming. Link
Park, S., Kang, S., Lee, C. and Ma, S. (2023). Sensitivity Analysis for Causal Decomposition Analysis: Assessing Robustness toward Omitted Variable Bias. Journal of Causal Inference. Accepted. arXiv:2205.13127
Liu, L., He, K., Wang, D., Ma, S., Qu, A., Lu, L., Miller, P. J. and Liu, L. (2023). Healthcare Center Clustering for Cox' Proportional Hazards Model by Fusion Penalty. Statistics In Medicine. Accepted.
2022
Ma, S., Su, L. and Zhang, Y.(2022). Detecting Latent Communities in Network Formation Models. Journal of Machine Learning Research. 23(310): 1−61. Link
Liu, M., Yang, J., Liu, Y., Jia, B., Chen, Y., Sun, L. and Ma, S. (2022). A Fusion Learning Method to Subgroup Analysis of Alzheimer's Disease. Journal of Applied Statistics. 50, 1606-1708. Link R codes are available at doi.org/10.6084/m9.figshare.17275148
Liu, X., Ma, S. and Chen, K. (2022). Multivariate Functional Regression Via Nested Reduced-Rank Regularization. Journal of Computational and Graphical Statistics. 31, 231-240. Link
2021
Guo, W., Zhou, X. and Ma, S. (2021). Estimation of Optimal Individualized Treatment Rules Using a Covariate-Specific Treatment Effect Curve With High-Dimensional Covariates. 116(533), 309-321. Journal of the American Statistical Association. 116, 309-321. Link
Ma, S., Su, L. and Zhang, Y. (2021). Determining the Number of Communities in Degree-Corrected Stochastic Block Models. Journal of Machine Learning Research. 22(69), 1-63. Link.
Ma, S., Linton, O. and Gao, J. (2021) Estimation and Inference in Semiparametric Quantile Factor Models. Journal of Econometrics. 222(1), 295-323. Link
Liu, L., Gordon, M., Miller, P, J., Kass, M., Lin, L., Ma, S. and Liu, L. (2021). Capturing Heterogeneity in Repeated Measures Data by Fusion Penalty. Statistics in Medicine. Link
2020
Ma, S., Racine, J.S. and Ullah, A. (2020) Nonparametric Estimation of Marginal Effects in Regression-Spline Random Effects Models. Econometric Reviews, 39, 792-825. Link
Liu, Y., Zhang, R., Ma, S. and Zhang, X. (2020). Personalized Treatment Selection via the Covariate-Specific Treatment Effect Curve for Longitudinal Data. Statistical Theory and Related Fields. Link
Ma, S., Huang, J., Zhang, Z. and Liu, M. (2020) Exploration of Heterogeneous Treatment Effects via Concave Fusion. The International Journal of Biostatistics. Link
Ma, S., Lan, W., Su, L. and Tsai, C.L. (2020) Testing Alphas in Conditional Time-Varying Factor Models with High Dimensional Assets. Journal of Business & Economic Statistics, 38, 214-227. Link
2019
Ma, S., Zhu, Li., Zhang, Z., Tsai, C.L. and Carroll, R.J. (2019) A Robust and Efficient Approach to Causal Inference Based on Sparse Sufficient Dimension Reduction. Annals of Statistics, 47(3). Link
Zhang, Z., Liu, C., Ma, S. and Zhang, M. (2019) Estimating Mann-Whitney-Type Causal Effects for Right-Censored Survival Outcomes, Journal of Casual Inference. Link
Chen, D., Ma, S., Zhu, L. and Feng, X. (2020). Non-crossing Multiple-index Quantile Regression. Scientia Sinica Mathematica, 50, 1-28. Link
Zhang, Z. and Ma, S. (2019) Machine Learning Methods for Leveraging Baseline Covariate Information to Improve the Efficiency of Clinical Trials, Statistics in Medicine, 10. Link
Fan, G., Zhu, L. and Ma, S. (2019) Nonlinear Interaction Detection Through Model-Based Sufficient Dimension Reduction. Statistica Sinica, 29, 917-937. Link
Zhang, Z., Ma, S., Shen, C. and Liu, C. (2019). Estimating Mann-Whitney-Type Causal Effects. International Statistical Review, 87, 514-530. Link
2018
He, K., Lian, H., Ma, S. and Huang, J. Z. (2018) Dimensionality Reduction and Variable Selection in Multivariate Varying-Coefficient Models with a Large Number of Covariates. Journal of the American Statistical Association, 113(522), 746-754. Link
Ma, S. and Su, L. (2018) Estimation of Large Dimensional Factor Models with an Unknown Number of Breaks. Journal of Econometrics, 207(1), 1-29. Link
2017
Ma, S., Ma, Y., Wang, Y. and Carroll, R. J. (2017) A Semiparametric Single-Index Risk Score Across Populations. Journal of the American Statistical Association, 112, 1648-1662. Link
Ma, S., Li, R. and Tsai, C.L. (2017) Variable Screening via Quantile Partial Correlation. Journal of the American Statistical Association, 112, 650-663. Link
Ma, S. and Huang, J. (2017) A Concave Pairwise Fusion Approach to Subgroup Analysis. Journal of the American Statistical Association, 112(517), 410-432. Link
Ma, S., Lian, H., Liang, H. and Carroll, R.J. (2017) SiAM: A Hybrid of Single Index Models and Additive Models. Electronic Journal of Statistics, 11(1). Link
Zhang, Z., Ma, S., Nie, L. and Soon, G. (2017) A Quantitative Concordance Measure for Comparing and Combining Treatment Selection Markers. The International Journal of Biostatistics, 13(1), 1-24. Link
Zhao, W., Lian, H. and Ma, S. (2017). Robust Reduced-rank Modeling via Rank Regression. Journal of Statistical Planning and Inference, 180, 1-12. Link
2016
Ma, S. and He, X. (2016) Inference for Single-index Quantile Regression Models with Profile Optimization. Annals of Statistics, 44, 1234-1268. Link
Guo, W., Liu, Z. and Ma, S. (2016) Nonparametric Regularized Regression for Phenotype Associated Taxa Selection and Network Construction with Metagenomic Count Data. Journal of Computational Biology, 23(11), 877-890. Link
Ma, S., Huang, Z. and Tsai, C.L. (2016) Parameter Estimation for A Generalized Semiparametric Model with Repeated Measurements. Annals of the Institute of Statistical Mathematics, 68, 725-764. Link
Chen, T., Ma, S., Kobie, J., Rosenberg, A., Sanz, I. and Liang, H. (2016) Identification of Significant B Cell Associations with Undetected Observations Using a Tobit Model. Statistics And Its Interface, 9, 79-91. Link
Ma, S. (2016) Estimation and Inference in Functional Single-Index Models. Annals of the Institute of Statistical Mathematics, 68, 181-208. Link
2015
Ma, S., Carroll, R. J., Liang, H. and Xu, S. (2015) Estimation and Inference in Generalized Additive Coefficient Models for Nonlinear Interactions with High-dimensional Covariates. Annals of Statistics, 43, 2102-2131. Link
Ma, S. and Song, P. X.K. (2015) Varying Index Coefficient Models. Journal of the American Statistical Association, 110, 341-356. Link
Ma, S., Racine, J. and Yang, L. (2015) Spline Regression in the Presence of Categorical Predictors. Journal of Applied Econometrics, 30, 705-717. Link
Ma, S. and Xu, S. (2015) Semiparametric Nonlinear Regression for Detecting Gene and Environment Interactions. Journal of Statistical Planning and Inference, 156, 31-47. Link
2014
Ma, S. (2014) A Plug-in Number of Knots Selector for Polynomial Spline Regression. Journal of Nonparametric Statistics, 26, 489-507. Link
Ma, S., Liang, H. and Tsai, C.L. (2014) Partially Linear Single Index Models for Repeated Measurements. Journal of Multivariate Analysis, 130, 354-375. Link
Ma, S., Zhang, J., Sun, Z. and Liang, H. (2014) Integrated Conditional Moment Test for Partially Linear Single Index Models Incorporating Dimension-Reduction. Electronic Journal of Statistics, 8, 523-542. Link
2013
Ma, S., Song, Q. and Wang, L. (2013) Simultaneous Variable Selection and Estimation in Semiparametric Modeling of Longitudinal/Clustered data. Bernoulli, 19(1), 252-274. Link
Ma, S. and Racine, J. (2013) Additive Regression Splines with Irrelevant Categorical and Continuous Regressors. Statistica Sinica, 23, 515-541. Link
2012
Ma, S. (2012). Two-step Spline Estimating Equations for Generalized Additive Partially Linear Models with Large Cluster Sizes. Annals of Statistics, 40(6). Link
Ma, S., Yang, L. and Carroll, R. J. (2012). Simultaneous Confidence Band for Sparse Longitudinal Regression. Statistica Sinica, 22(1), 95-122. Link
2011
Ma, S., Yang, L., Romero, R. and Cui, Y. (2011) Varying-Coefficient Models for Gene-environment Interaction: A Non-linear Look. Bioinformatics, 27(15). Link
Ma, S. and Yang, L. (2011) Spline-backfitted Kernel Smoothing of Partially Linear Additive Model. Journal of Statistical Planning and Inference, 141(1), 204-219 (Laha Award at JSM 2009). Link
Ma, S. and Yang, L. (2011) A Jump-Detecting Procedure based on Polynomial Spline Estimation. Journal of Nonparametric Statistics, 23(1), 67-81. Link
Submitted papers
Ma, S. and Liu, M. (2021). Statistical Learning using Sparse Deep Neural Networks in Empirical Risk Minimization. arXiv:2108.05990
Lee, K., Ma, S., Li, B. and Zhao, H. (2020). A Two-sample Distributional Test in High Dimension.
Book chapter (peer-reviewed)
Ma, S. and Yang, L. (2014), Oracally Efficient Two-Step Estimation for Additive Regression in Handbook of Applied Nonparametric and Semiparametric Econometrics and Statistics, Eds: Ullah, A., Racine, J. and Su L., Oxford University Press. Link
Liu, M., Ikhelowa, Q. and Ma, S. (2023), A Selective Overview of Penalized Learning in Latent Subgroup Analysis for Precision Medicine in Precision Medicine: Methods and Applications, Eds: Zhao, Y. and Chen, D. G., Springer Nature. Accepted.