Research

REFEREED PAPERS

(* indicates alphabetical ordering authorship; # indicates corresponding authorship; underlined authors are students under my supervision.)

1. Zhou, X., Xia, Y.# and Li, L. (2025+), Estimation and Inference for High-dimensional Multi-response Growth Curve Model. Statistica Sinica, to appear.

2. Liang, Z., Cai, T.T., Sun, W. and Xia, Y.# (2025+), A Locally Adaptive Algorithm for Multiple Testing with Network Structure. Statistica Sinica, to appear.

3. Ma, L., Qin, S. and Xia, Y.# (2025), Alteration Detection of Tensor Dependence Structure via Sparsity-Exploited Reranking Algorithm. Journal of Multivariate Analysis, 206, 105395. 

4. Sun, Y., Ma, L. and Xia, Y.# (2024), A Decorrelating and Debiasing Approach to Simultaneous Inference for High-Dimensional Confounded Models, Journal of the American Statistical Association, 119(548), 2857-2868.

5. Ma, L., Xia, Y.# and Li, L. (2025), NAPA: Neighborhood-Assisted and Posterior-Adjusted Two-sample Inference.  Statistica Sinica, 35 (2025), 2233-2257.

6. Wang, X., Liu, M., Nogues, I.E., Chen, T., Xiong, X., Bonzel, C.L., Zhang, H., Hong, C., Xia, Y., Dahal, K., Costa, L., Cui, J., VA Million Veteran Program, Gaziano, J.M., Kim, SC., Ho, Y.L., Cho, K., Cai, T. and Liao, KP. (2024), Heterogeneous associations between interleukin-6 receptor variants and phenotypes across ancestries and implications for therapy. Scientific Reports 14, 1-12.

7. Xia, Y.# and Cai, T.T. (2023), Discussion of “A Scale-free Approach for False Discovery Rate Control in Generalized Linear Models”, Journal of the American Statistical Association, 118(543), 1569-1572.

8. *Cai, T.T., Guo, Z. and Xia, Y.# (2023), Statistical Inference and Large-scale Multiple Testing for High-dimensional Regression Models (with discussion), Test, 32, 1135-1171.  

9. *Cai, T.T., Guo, Z. and Xia, Y.# (2023), Rejoinder on: Statistical Inference and Large-scale Multiple Testing for High-dimensional Regression Models, Test, 32, 1187-1194.

10. *Chen, H. and Xia, Y.# (2023), A Normality Test for High-dimensional Data based on the Nearest Neighbor Approach. Journal of the American Statistical Association, 118(541), 719-731.

11. Chen, X., Yang, D.#, Xu, Y., Xia, Y.#, Wang, D. and Shen, H. (2023), Testing and Support Recovery of Correlation Structures for Matrix-Valued Observations with an Application to Stock Market Data. Journal of Econometrics, 232(2), 544-564.

12. *Cai, Tianxi, Liu, M. and Xia, Y.# (2022), Individual Data Protected Integrative Regression Analysis of High-dimensional Heterogeneous Data. Journal of the American Statistical Association, 117(540), 2105-2119.

13. *Cai, T.T., Sun, W. and Xia, Y.# (2022), LAWS: A  Locally Adaptive Weighting and Screening Approach To Spatial Multiple Testing. Journal of the American Statistical Association, 117(539), 1370-1383.

14. Xia, Y. and Li, L. (2022), Hypothesis Testing for Network Data with Power Enhancement. Statistica Sinica, 32, 293-321.

15. Liu, M., Xia, Y.#, Cho, K, and Cai, Tianxi (2021), Integrative High-dimensional Multiple Testing with Heterogeneity under Data Sharing Constraints. Journal of Machine Learning Research, 22, 1-26.

16. Xia, Y., Li, L., Lockhart, S. and Jagust, W. (2020), Simultaneous Covariance Inference for Multimodal Integrative Analysis. Journal of the American Statistical Association, 115, 1279-1291.

17. Xia, Y., Cai, T.T. and Sun, W. (2020), GAP: A General Framework for Information Pooling in Two-Sample Sparse Inference. Journal of the American Statistical Association, 115, 1236-1250.

18. Ye, Y., Xia, Y. and Li, L. (2021), Paired Test of Matrix Graphs and Brain Connectivity Analysis. Biostatistics, 22, 402-420.

19. *Cai, T. T., Li, H., Ma, J. and Xia, Y. (2019), Differential Markov Random Field Analysis with an Application to Detecting Differential Microbial Community Networks. Biometrika, 106, 401-416.

20. Xia, Y. and Li, L. (2019), Matrix Graph Hypothesis Testing and Application in Brain Connectivity Alternation Detection. Statistica Sinica, 29, 303-328.

21. Xia, Y., Cai, T. T., and Li, H. (2018), Joint Testing and False Discovery Rate Control in High-Dimensional Multivariate Regression. Biometrika, 105(2), 249-269.

22. Xia, Y., Cai, T. and Cai, T.T. (2018), Multiple Testing of Submatrices of a Precision Matrix with Applications to Identification of Between Pathway Interactions. Journal of the American Statistical Association, 113(521), 328-339.

23. Xia, Y., Cai, T. and Cai, T.T. (2018), Two-Sample Tests for High-Dimensional Linear Regression with an Application to Detecting Interactions. Statistica Sinica, 28, 63-92.

24. Xia, Y. (2017), Testing and Support Recovery of Multiple High-Dimensional Covariance Matrices with False Discovery Rate Control. Test, 26(4), 782-801.

25. Xia, Y. and Li, L. (2017), Hypothesis Testing of Matrix Graph Model with Application to Brain Connectivity Analysis. Biometrics, 73(3), 780-791.

26. Xia, Y., Cai, T. and Cai, T.T. (2015), Testing Differential Networks with Applications to the Detection of Gene-Gene Interactions. Biometrika, 102, 247-266.

27. *Cai, T.T., Liu, W. and Xia, Y. (2014), Two-Sample Test of High Dimensional Means Under Dependence. Journal of the Royal Statistical Society, Series B, 76, 349-372.

28. *Cai, T.T. and Xia, Y.# (2014), High-Dimensional Sparse MANOVA. Journal of Multivariate Analysis, 131, 174-196.

29. *Cai, T.T., Low, M. and Xia, Y. (2013), Adaptive Confidence Intervals for Regression Functions Under Shape Constraints. The Annals of Statistics, 41, 722-750.

30. *Cai, T.T., Liu, W. and Xia, Y. (2013), Two-Sample Covariance Matrix Testing and Support Recovery in High-Dimensional and Sparse Settings. Journal of the American Statistical Association, 108, 265-277.

TECHNICAL REPORTS

1. Sun, Y. and Xia, Y.# (2025), A Unified Framework for Large-Scale Inference of Classification: Error Rate Control and Optimality. Technical Report.

2. Sun, J. and Xia, Y.# (2025), Minimax Rate-Optimal Inference for Individualized Quantile Treatment Effects in High-dimensional Models. Technical Report.

3. Qin, S., He, J., Kuang, Q., Gang, B. and Xia, Y.# (2025), Data-light Uncertainty Set Merging with Admissibility: Synthetics, Aggregation, and Test Inversion. Technical Report.

4. Sun, Y. and Xia, Y.# (2024), Optimal Integrative Estimation for Distributed Precision Matrices with Heterogeneity Adjustment. Technical Report.

5. Qin, S., Gang, B. and Xia, Y.# (2025), A Unified Ranking and Thresholding Framework for Multiple Testing. Technical Report.