1. Ai, Mingyao; Dette, Holger; Liu, Zhengfu; Yu, Jun(2025). A new approach to optimal design under model uncertainty motivated by multi-armed bandits. Journal of the American Statistical Association, 120(552), 2709-2722.
2. Cai, Zhenhao; Ding, Jian(2025). One-arm exponent of critical level-set for metric graph Gaussian free field in high dimensions. Probability Theory and Related Fields, 191(3-4), 1035-1120.
3. Chen, Xuanwei; Ran, Qinghua; Tang, Junjie; Chen, Zihao; Huang, Siyuan; Shi, Xingjie; Xi, Ruibin(2025). Benchmarking algorithms for spatially variable gene identification in spatial transcriptomics. Bioinformatics, 41(4), btaf131.
4. Cho, Seonghun; Kim, Jae Kwang; Qiu, Yumou(2025). Multiple Bias Calibration for Valid Statistical Inference under Nonignorable Nonresponse. Biometrics, 81(2), ujaf044.
5. Cui, Chang; Jia, Jinzhu; Xiao, Yijun; Zhang, Huiming(2025). Directional FDR Control for Sub-Gaussian Sparse GLMs. Communications in Mathematics and Statistics, published online, http//doi.org/10.1007/s40304-024-00433-2.
6. Ding, Jian; Du, Hang; Li,Zhangsong(2025). Low-degree hardness of detection for correlated Erdős–Rényi graphs. Annals of Statistics, 53(5), 1833-1856.
7. Ding, Jian; Fan, Zherui; Huang, Lu-Jing(2025). Polynomial lower bound on the effective resistance for the one-dimensional critical long-range percolation. Communications on Pure And Applied Mathematics, 78(7), 1251-1284.
8. Ding, Jian; Fei, Yumou; Wang, Yuanzheng(2025). Efficiently matching random inhomogeneous graphs via degree profiles. Annals of Statistics, 53(4), 1808–1832.
9. Ding, Jian; Yang, Peng; Zhuang, Zijie(2025). Dynamical random field Ising model at zero temperature. Probability Theory and Related Fields, published online, https://doi.org/10.1007/s00440-025-01456-8.
10. Dong, Chaohua; Tu, Yundong(2025). Semiparametric estimation and variable selection for sparse single index models in increasing dimension. Econometric Theory, 41(3), 617-659.
11. Dong, Xinshuai, Ng, Ignavier; Sun, Boyang; Dai, Haoyue; Hao, Guang-Yuan; Fan, Shunxing; Spirtes, Peter; Qiu, Yumou; Zhang, Kun(2025). Permutation-based Rank Test in the Presence of Discretization and Application in Causal Discovery with Mixed Data. International Conference on Machine Learning, 267, 14137-14151.
12. Fang, Zhuangyan; Zhao, Ruiqi; Liu, Yue; He, Yangbo(2025). On the representation of causal background knowledge and its applications in causal inference. Journal of Machine Learning Research, 26(1), 1-73.
13. Guo, Xin; Wang, Binnan; Zhang, Ruixun; Zhao, Chaoyi(2025). On Consistency of Signature Using Lasso. Operations Research, 73(5), 2297-2866.
14. Han, Yuze; Li, Xiang; Lin, Shiyun; Zhang, Zhihua(2025). A Random Projection Approach to Personalized Federated Learning: Enhancing Communication Efficiency, Robustness, and Fairness. Journal of Machine Learning Research, 25(380), 1-88.
15. He, Jie; Qiu, Yumou; Zhou, Xiao-Hua(2025). Positive-definite regularized estimation for high-dimensional covariance on scalar regression. Biometrics, 81(1), ujaf017.
16. Hou, Haojie; Jiang, Yiyang; Ren, Yan-Xia; Song, Renming(2025). Tail probability of maximal displacement in critical branching Lévy process with stable branching. Bernoulli, 31(1), 630-648.
17. Hou, Lei; Chen, Hao; Zhou, Xiao-Hua(2025). MR-EILLS: an invariance-based Mendelian randomization method integrating multiple heterogeneous GWAS summary datasets. Nature Communications, 16(1), 7668.
18. Kwon, Yonghyun; Kim, Jae Kwang; Qiu, Yumou(2025). Debiased Calibration Estimation Using Generalized Entropy in Survey Sampling. Journal of the American Statistical Association, published online, https://doi.org/10.1080/01621459.2025.2537452.
19. Lin, Yingqian; Tu, Yundong(2025). Identification and Inference for Semiparametric Single Index Transformation Models. Journal of Econometrics, 251, 106084.
20. Lin, Ziqian; Huang, Danyang; Xiong, Ziyu; Wang, Hansheng(2025). Statistical inference for regression with imputed binary covariates with application to emotion recognition. Annals of Applied Statistics, 19(1), 329-350.
21. Liu, Jiacai; Li, Wenye; Lin, Dachao; Wei, Ke; Zhang, Zhihua(2025). On the Convergence of Projected Policy Gradient for Any Constant Step Sizes. Journal of Machine Learning Research, 26(193), 1-35.
22. Lo, W. Andrew; Zhang, Ruixun(2025). Performance Attribution for Portfolio Constraints. Management Science, 71(9), 7223-8095.
23. Ma, Chenchen; Tu, Yundong(2025). When Structural Break Meets Threshold Effect: Factor Analysis under Structural Instability. Journal of Econometrics, 249, Part B, 105972.
24. Ma, Yingying; Lan, Wei; Leng, Chenlei; Li, Ting; Wang, Hansheng(2025). Supervised centrality via sparse network influence regression: an application to the 2021 Henan Floods’social network. Annals of Applied Statistics, 19(2), 1734-1752.
25. Mao, Yicong; Jiang, Zhiwen; Wang, Tianying; Hu, Yijuan; Zhan, Xiang(2025). TCVS: tree-guided compositional variable selection analysis of microbiome data. Bioinformatics, 41(11).
26. Miao, Wang; Li, Xinyu; Zhang, Ping; Sun, Baoluo(2025). A stableness of resistance model for nonresponse adjustment with callback data. Journal of the Royal Statistical Society Series B-statistical Methodology, 87, 433-456.
27. Pang, Shanqi; Lin, Xiao; Ai, Mingyao; Chien, Peter(2025). Construction of Asymmetric Nested Orthogonal Arrays. Journal of the American Statistical Association, published online, https://doi.org/10.1080/01621459.2025.2555058.
28. Peng, Yang; Jin, Kaicheng; Zhang, Liangyu; Zhang, Zhihua(2025). A Finite Sample Analysis of Distributional TD Learning with Linear Function Approximation. NeurIPS 2025.
29. Qiu, Jingkun; Chen, Song Xi; Shao, Qiman(2025). Self-Normalized Cramér Type Moderate Deviation Theorem for Gaussian Approximation. Annals of Statistics, 53 (3), 1319-1346.
30. Qiu, Yumou; Gu, Yushan(2025). F statistics for high-dimensional inference of linear model. Bernoulli, 31(3), 2434-2458.
31. Shao, Lingxuan; Yao, Fang(2025). Ordinary differential equation models for a collection of discretized functions. Journal of the Royal Statistical Society Series B-statistical Methodology, 87(5), 1707-1724.
32. Sun, Boyang; Yao, Yu; Dong, Xinshuai; Liu, Zongfang; Liu, Tongliang; Qiu, Yumou; Zhang, Kun(2025). A Sample Efficient Conditional Independence Test in the Presence of Discretization. International Conference on Machine Learning, 267, 57828-57853.
33. Tai, Qianchen; Zhou, Xiao-Hua(2025). Simultaneous adjustment of nonignorable verification bias and imperfect gold standard bias in diagnostic test studies, with an application to Alzheimer’s disease detection. Annals of Applied Statistics, 19(4), 3071-3090.
34. Tu, Yundong; Wang, Siwei(2025). Quantile Prediction with Factor-augmented Regression: Structural Instability and Model Uncertainty. Journal of Econometrics, 249, Part B, 105999.
35. Wang, Changhu; Chen, Zihao; Xi, Ruibin(2025). Feature screening for clustering analysis of count data with an application to single-cell RNA-sequencing. Annals of Applied Statistics, 19(4), 2738-2758.
36. Wang, Fan; Zhang, Wei; Yao, Fang(2025). Computationally efficient whole-genome signal region detection for quantitative and binary traits. Annals of Applied Statistics, 19(2), 1048-1064.
37. Wang, Ying; Peter C.B. Phillips; Tu, Yundong(2025). Limit Theory and Inference in Non-cointegrated Functional Coefficient Regression. Journal of Econometrics, 249, Part B, 105996.
38. Wu, Lintong; Zhang, Ruixun; Dai, Yuehao(2025). Spectral Volume Models: High-Frequency Periodicities in Intraday Trading Activities. Management Science, published online, http//doi.org/10.1287/mnsc.2024.06215.
39. Xie, Yangxinyu; Li, Xiang; Mallick, Tanwi; Su, Weijie; Zhang, Ruixun(2025). Debiasing Watermarks for Large Language Models via Maximal Coupling. Journal of the American Statistical Association, 120(551), 1424-143.
40. Yan, Shunxing; Yao, Fang; Zhou, Hang(2025). Deep regression for repeated measurements.. Journal of the American Statistical Association, published online, http//doi.org/10.1080/01621459.2025.2458344.
41. Yang, Zixin; Song, Xiaojun; Yu, Jihai(2025). Estimation of spatial autoregressive panel data models with nonparametric endogenous effect. Journal of Econometrics, 252, 106112.
42. Yu, Longlin; Zha, Jiajun; Yang, Tong; Xie, Tianyu; Zhang, Xiangyu; Chan, S.-H. Gary; Zhang, Cheng(2025). Continuous Semi-Implicit Models. International Conference on Machine Learning, 267, 73375-73400.
43. Zhan, Jingxin; Xin, Yuchen; Sun, Chenjie; Zhang, Zhihua(2025). Follow-the-Perturbed-Leader Nearly Achieves Best-of-Both-Worlds for the $m$ Set Semi-Bandit Problems. NeurIPS 2025.
44. Zhang, Liangyu; Peng, Yang; Liang, Jiadong; Yang, Wenhao; Zhang, Zhihua(2025). Estimation and Inference in Distributional Reinforcement Learning. Annals of Statistics, 53(5), 1987-2011.
45. Zhang, Shucong; Wang, Huiyuan; Lin, Wei(2025). CARE: Large precision matrix estimation for compositional data. Journal of the American Statistical Association, 120(549), 305-317.
46. Zhang, Wei; Wang, Fan; Yao, Fang(2025). Fast signal region detection with application to whole genome association studies. Journal of the American Statistical Association, published online, http//doi.org/10.1080/01621459.2025.2464271.
47. Zhao, Yifan; Luquette, J. Lovelace; Veit, D. Alexander; Wang, Xiaochen; Xi, Ruibin; Viswanadham, V. Vinayak; Zhang, Yuwei; Shao, D. Diane; Walsh, A. Christopher; Yang, Hong Wei; Johnson, D. Mark; Park, J. Peter(2025). High-resolution detection of copy number alterations in single cells with HiScanner. Nature Communications, 16(1), 5477.
48. Zhou, Hang; Wei, Dongyi; Yao, Fang(2025). Theory of functional principal component analysis for discretely observed data. Annals of Statistics, 53(5), 2103-2127.