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2024年研究成果

  1. Kai Xu, Qing Cheng*, Test of conditional independence in factor models via Hilbert–Schmidt independence criterion, Journal of Multivariate Analysis, 199, 105241 

  2. Wei Liu(学生), Huazhen Lin*, Jin Liu and Shurong Zheng. Two-directional simultaneous inference for high-dimensional models. Journal of Business & Economic StatisticsVOL.42, NO. 1, 298–309 

  3. Jinyuan Chang, Qiao Hu, Cheng Liu, Cheng Yong TangOptimal covariance matrix estimation for high-dimensional noise in high-frequency dataJournal of EconometricsVolume 239, Issue 2, 105329

  4. Xinyan Fan, Wei Lan*, Tao Zou, and Chih-Ling Tsai, 2024Covariance Model with General Linear Structure and Divergent Parameters, Journal of Business & Economic Statistics, 42.1 36-48

  5. Hector, E., Tang, L., Zhou, L. and Song, P. X.-K. (2024). Data Integration and Model Fusion in the Bayesian and Frequentist Frameworks. Handbook of Bayesian, Fiducial, and Frequentist Inference, 238–263

  6. Wang, W., Wu, S., Zhu, Z., Zhou, L. and Song, P. X.-K. (2024). Supervised homogeneity fusion: a combinatorial approach. The Annals of Statistics. 52, 1, 285–310

  7. Chen, X.*, Ping, Y.(学生) and Sun, J.(2024).Efficient estimation of Cox model with random change point. Statistics in Medicine,43,1213-1226.

  8. Yujia Wu(学生)., Wei Lan., Xinyan Fan. and Kuangnan Fang (2024), Bipartite Network Influence Analysis of a Two Mode Network, Journal of Econometrics, 239.105562 

  9. Zhang,P(学生).,Chen,X*.and Sun,J.2024.Regression analysis of longitudinal data with random change point, Statistical Methods in Medical Research, 33(4):634-646

  10. Kuangnan Fang, Lan Wei, Pu Dan and Zhang Qingzhao(2024), Spatial Autoregressive Models with Generalized Spatial DisturbancesStatistica Sinica34 .725-745  

  11. Jinjin Li(学生), Bin Liu*, Chengyan Liu, Hongli Zhang.,2024, Predicting Housing Transaction with Common Covariance GNNs, Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 7323-7330

  12. Jiujun He(学生), Bin Liu, Guosheng Yin,(2024), Enhancing Semi-supervised Domain Adaptation via Effective Target Labeling, Proceedings of the AAAI Conference on Artificial Intelligence, 38. 11: 12385-12393

  13. Jiaolong Wang(学生), Fode Zhang, Hon Keung Tony Ng, Yimin Shi, (2024),Remaining Useful Life Prediction via Information Enhanced Domain Adversarial Generalization, IEEE Transactions on Reliability , 1 - 14

  14. Xinyan Fan, Wei Lan, Tao Zou* and Chih-Ling Tsai, (2024) Mutual Influence Regression Model, Statistica Sinica, 34, 1723-1743 

  15. Jiaxin Liu#(学生), Hongliang Liu#, Yi Li and Huazhen Lin*, (2024),A Combined Moment Equation Approach for Spatial Autoregressive Models.The Canadian Journal of Statistics. 52, 2, 577–596

  16. Pengcheng Xiang(学生), Ling Zhou , Lu Tang,, (2024),Transfer learning via random forests: A one-shot federated approach, Computational Statistics and Data Analysis, 197.107975

  17. Jiujun He(学生), Liang Wu, Chaofan Tao, Fengmao Lv*. Source-free domain adaptation with unrestricted source hypothesis. Pattern Recognition, 2024, 149: 110246.

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