Forthcoming
  1. Xinyan Fan, Kuangnan Fang, Wei Lan* and Chih-Ling Tsai (2025). Network varying coefficient model, Journal of the American Statistical Association. Online.

  2. RUI SHE, LINLIN DAI AND SHIQING LING. A TWO-STEP ESTIMATING APPROACH FOR HEAVY-TAILED AR MODELS WITH NON-ZERO MEDIAN GARCH-TYPE NOISES, The Annals of Statistics. Accepted

  3. 江自豪(学), 刘伟, 周岭∗, 带有协变量完全随机缺失的高维线性回归,中国科学·数学,Online.

  4. Boyan Shen(学), Xinzhou Guo and Xuerong Chen*. Subgroup Structure Detection and Prediction via Minimal Spanning Tree, Journal of Computational and Graphical Statistics, Online.

  5. RUI SHE,Inference in Median ar Models with Nonstationary and Heavy-Tailed Heteroskedastic Noises,Econometric Theory, 2025, 1–29.

  6. Rui She, Linlin Dai*, and Shiqing Ling,2025,Testing for Change-Points in Heavy-Tailed Time Series—A Winsorized CUSUM approach, JOURNAL OF BUSINESS & ECONOMIC STATISTICS,Online.

  7. Feifei Guo, Rui She* and Yaxing Yang,2025, Inference on Nonstationary Heavy-Tailed ar Processes Via Model Selection , JOURNAL OF TIME SERIES ANALYSIS.

  8. Guobin Fan, Yuheng Xie, Lingxiao Ma, Liang Wu*. 2025, The liquidity spillover effects among three major crude oil markets: WTI, Brent, and INE. Fluctuation and Noise Letters, Online.

  9. Feng Shen, Kexin Yang , Fanyin Zhou*, Wensha Zhang. A hybrid multi-layered ensemble model based on heterogeneous information network for small and medium-sized enterprise default prediction. European Journal of Operational Research. Online

  10. Ye He, Qing Luo, Liu Liu, Shengzhi Mao and Ling Zhou*, Identification of Latent Subgroups for Timevarying Panel Data Models, Journal of Business & Economic Statistics, Online.

  11. Dongxue Zhang(学), Wei Lan, Danyang Huang* and Huazhen Lin (2025+). High-dimensional-responses-assisted heterogeneous nodal influence analysis. Statistica Sinica, in press.

  12. Yifan Zhu(学), Wenyu Chen(学), Zhe Cheng(学), Zhishen Ye and Fode Zhang*. Causality-Preserving Domain Generalization via Adaptive Fourier Mixup for RUL Prediction. IEEE Transactions on Pattern Analysis and Machine Intelligence. Online. Doi:10.1109/TPAMI.2026.3688520







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