2025年钻研成就

2025年，商务统计与经济计量系在学术期刊上共颁发论文88篇，汇报会讨论文3篇。其中，国际A类刊物10篇，国际B类刊物31篇

；国内A类刊物2篇，国内B类刊物1篇，其他颁发44篇。

? 国际A类刊物（10篇）

1. Ai, Chunrong; Fang, Yue; Xie, Haitian,2025, Data-Driven Policy Learning for Continuous Treatments, JOURNAL OF ECONOMETRICS, forthcoming.

2. Shen, Yiwen; Li, Chenxu; Scaillet, Olivier; Jiang, Yueting,2025, Dynamic Portfolio Allocation Under Market Incompleteness and Wealth Effects, OPERATIONS RESEARCH, 10.1287/opre.2024.0976.

3. Chenxu Li, Xiaojun Song, Yating Wan,2025, Tail-Driven Nonparametric Estimation for State Price Densities, MANAGEMENT SCIENCE, forthcoming.

4. Yang, ZX ; Song, XJ ; Yu, JH,2025, Estimation of Spatial Autoregressive Panel Data Models with Nonparametric Endogenous Effect, JOURNAL OF ECONOMETRICS,252, 10.1016/j.jeconom.2025.106112.

5. Lin, Yingqian; Tu, Yundong,2025, Identification and Inference for Semiparametric Single Index Transformation Models, JOURNAL OF ECONOMETRICS,251, 10.1016/j.jeconom.2025.106084.

6. Wang, Ying; Phillips, Peter C. B.; Tu, Yundong,2025, Limit Theory and Inference in Non-cointegrated Functional Coefficient Regression, JOURNAL OF ECONOMETRICS,249, 10.1016/j.jeconom.2025.105996.

7. Tu, Yundong; Wang, Siwei,2025, Quantile Prediction with Factor-augmented Regression: Structural Instability and Model Uncertainty, JOURNAL OF ECONOMETRICS,249, 10.1016/j.jeconom.2025.105999.

8. Ma, Chenchen; Tu, Yundong,2025, When Structural Break Meets Threshold Effect: Factor Analysis under Structural Instability, JOURNAL OF ECONOMETRICS,249, 10.1016/j.jeconom.2025.105972.

9. Shi, Jiaxin; Zhu, Xuening; Zhou, Jing; Yu, Baichen; Wang, Hansheng,2025, High-Dimensional Spatial Autoregression with Latent Factors by Diversified Projections, JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 10.1080/01621459.2025.2562644.

10. Liu, Xuemei; Wang, Ying; Huang, Mingpeng; Xu, Minya; Liu, Dong; He, Yujing,2025, The U-Shaped Relationship Between Locus of Control and Prohibitive Voice via Perceived Risk of Prohibitive Voice: The Moderating Role of Team Voice Climate, JOURNAL OF APPLIED PSYCHOLOGY, 10.1037/apl0001316.

? 国际B类刊物（31篇）

1. Zhang, Shuyi; Chen, Song Xi; Qiu, Yumou,2025, Mean Tests for Hign-dimensional Time Series, STATISTICA SINICA,35(1):171-201.

2. Tong, Pei Feng; Chen, Song Xi; Tang, Cheng Yong,2025, Multivariate Calibrations with Auxiliary Information, STATISTICA SINICA,35(3):1519-1536.

3. Fang, Yue; Xi, Jin; Xie, Haitian,2025, Model Selection for Multivalued-Treatment Policy Learning in Observational Studies, JOURNAL OF BUSINESS & ECONOMIC STATISTICS,43(4):897-909.

4. Xie, Haitian; Zhu, Ying; Shishkin, Denis,2025, On the Limitations of Data‐based Price Discrimination, THEORETICAL ECONOMICS,303-351.

5. Li, Chen Xu; Li, Chenxu; Li, Chun,2025, Implied Local Volatility Models, JOURNAL OF EMPIRICAL FINANCE,80, 10.1016/j.jempfin.2024.101567.

6. Gao, Yuan; Pan, Rui; Li, Feng; Zhang, Riquan; Wang, Hansheng,2025, Grid Point Approximation for Distributed Nonparametric Smoothing and Prediction, JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS,34(3):824-836.

7. Song, Xiaojun; Sun, Zhenting,2025, Almost Dominance: Inference and Application, ECONOMETRIC REVIEWS, 10.1080/07474938.2025.2565642.

8. Song, Xiaojun; Sijie Zheng,2025, Inference for Trend Functions in Partially Linear Models, JOURNAL OF STATISTICAL PLANNING AND INFERENCE,242, 10.1016/j.jspi.2025.106338.

9. Liao, Jen-Che; Song, Xiaojun; Wang, Hung-Jen,2025, Testing the Impacts on Inefficiency in a Semiparametric Stochastic Frontier Model, ECONOMETRIC REVIEWS, 10.1080/07474938.2025.2560639.

10. Sun, Shuang; Song, Zening; Song, Xiaojun,2025, Unified Specification Tests in Partially Linear Time Series Models, COMPUTATIONAL STATISTICS & DATA ANALYSIS,203, 10.1016/j.csda.2024.108074.

11. Chen, Shiyuan; Song, Xiaojun; Yu, Jihai,2025, Oracally Efficient Estimation and Specification Testing of Partially Linear Additive Spatial Autoregressive Models, ECONOMETRIC REVIEWS,44(8):1120-1143.

12. Chang, Hsuan-Yu; Song, Xiaojun; Yu, Jihai,2025, Trending Time-Varying Coefficient Spatial Panel Data Models, JOURNAL OF BUSINESS & ECONOMIC STATISTICS,43(1):191-203.

13. Tu, Yundong; Wang, Siwei,2025, Consistent Model Selection for Factor-augmented Regressions, ECONOMICS LETTERS,253, 10.1016/j.econlet.2025.112331.

14. Li, Zheng; Tu, Yundong,2025, Nonlinear Cointegrations with Nonstationary Nonlinear Heteroskedasticity, ECONOMETRIC REVIEWS,44(9):1361-1390.

15. Tu, Yundong; Wang, Baiqing,2025, On Structurally Grouped Approximate Factor Models, ECONOMETRIC REVIEWS,45(1):18-49.

16. Xinling Xie and Yundong Tu,2025, Regime-Specific Return Predictability in Quantiles, JOURNAL OF BUSINESS & ECONOMIC STATISTICS, forthcoming.

17. Dong, Chaohua; Tu, Yundong,2025, Semiparametric Estimation and Variable Selection for Sparse Single Index Models in Increasing Dimension, ECONOMETRIC THEORY,41(3):617-659.

18. Bo Ling and Yundong Tu,2025, Shrinkage and Noniterative Estimation for Moving Average Models with Structural Breaks, ECONOMETRIC REVIEWS, forthcoming.

19. Zhang, Feipeng; Tu, Yundong,2025, Threshold Expectile Regressions with an Unknown Threshold for Dependent Data, OXFORD BULLETIN OF ECONOMICS AND STATISTICS,87(4):815-836.

20. Bo Ling and Yundong Tu,2025, Variable Screening in High Dimensional Vector Autoregressions, ECONOMICS LETTERS,257, 10.1016/j.econlet.2025.112695.

21. Pan, R., Gao, Y., and Wang, H.,2025, A Latent Space Model for Link Prediction Instatistical Citation Network, JOURNAL OF MULTIVARIATE ANALYSIS, forthcoming.

22. Zhang, Yan; Pan, Rui; Zhu, Xuening; Fang, Kuangnan; Wang, Hansheng,2025, A Latent Space Model for Weighted Keyword Co-Occurrence Networks with Applications in Knowledge Discovery in Statistics, JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS,34(3):779-794.

23. Yan, H., Wang, F., Xia, C., and Wang, H.,2025, Auxiliary Learning and Its Statistical Understanding, STATISTICA SINICA, forthcoming.

24. Wu, Shuyuan; Zhou, Jing; Xu, Ke; Wang, Hansheng,2025, Class-Distributed Learning for Multinomial Logistic Regression with High Dimensional Features and a Large Number of Classes, JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS,34(1):175-186.

25. Gao, Yuan; Zhang, Zhiyuan; Cai, Zhanrui; Zhu, Xuening; Zou, Tao; Wang, Hansheng,2025, Penalized Sparse Covariance Regression with High Dimensional Covariates, JOURNAL OF BUSINESS & ECONOMIC STATISTICS,43(3):615-626.

26. Qi, Haobo; Wang, Feifei; Wang, Hansheng,2025, Privacy Protection and Statistical Efficiency Trade-Off for Federated Learning, INFORMS JOURNAL ON COMPUTING, 10.1287/ijoc.2024.0554.

27. Miao, Xin; Fang, Fang; Zhu, Xuening; Wang, Hansheng,2025, Spatial Weights Matrix Selection and Model Averaging for Multivariate Spatial Autoregressive Models, ECONOMETRIC REVIEWS, 10.1080/07474938.2025.2560637.

28. Lin, Ziqian; Gao, Yuan; Wang, Feifei; Wang, Hansheng,2025, Testing Sufficiency for Transfer Learning, COMPUTATIONAL STATISTICS & DATA ANALYSIS,203.

29. Beini Liu, Xinyu Zhang, Minya Xu, Xiaode Ji,2025, Good Intentions Gone Awry: How and When Perceived Platform CSR Toward Customers Undermines Gig Workers' Service Delivery Quality, JOURNAL OF BUSINESS ETHICS, 10.1007/s10551-025-06180-w.

30. Shengming Liu, Mingpeng Huang, Dong Ju, Zhiying Shi and Minya Xu,2025, My Leader Sent Me a Smile Emoji: The Influence of Leader Smile Emoji Usage on Follower Attitude, MANAGEMENT & ORGANIZATION REVIEW.

31. Pu, Dan; Fang, Kuangnan; Lan, Wei; Yu, Jihai; Zhang, Qingzhao,2025, Reduced Rank Spatio-Temporal Models, JOURNAL OF BUSINESS & ECONOMIC STATISTICS,43(1):98-109.

? 国内A类刊物（2篇）

1. 董朝华; 周晨; 涂云东，2025，可加单指标协整功夫序列模型的稳重M估计，《中国科学:数学》，第1-30页。

2. 杨金玉; 罗勇根; 虞吉海; 冯博，2025，客户企业专精特新资质认定的供给链溢出效应——基于供给商双元知识搜巡逻角，《治理世界》，第7期，192-217页。

? 国内B类刊物（1篇）

1. 周梓洵、吴文心、孙澜澜、徐敏亚，2025，机构调研与企业“脱虚返实”-- 来自机构投资者治理作用的证据，《治理科学学报 》，接管待颁发。

? 其他颁发（44篇）

1. Zhang, Huiming; Chen, Song Xi,2025, Concentration Inequalities for Statistical Inference, ARXIV, 2011.02258.

2. Su, Wu; E, Xiaoyuan; Jing, Zhao; Chen, Song Xi,2025, Glider Path Design and Control for Reconstructing Three-Dimensional Structures of Oceanic Mesoscale Eddies, ARXIV, 2504.18936.

3. Yan, Han; Chen, Song Xi,2025, Transfer Learning with General Estimating Equations, ARXIV, 2410.04398.

4. 陈大川; 李辰旭，2025，颠簸率模型下期权定价的关式渐进发展步骤，《利用概率统计》，第2期，223-247页。

5. Pan, Zhe; Xian, Haocheng; Li, Feng; Wang, Ziyao; Li, Zihan; Huang, Yu; Liu, Wenqing; Li, Yiman; Li, Fan; Wang, Jinyuan; Chen, Haichao; Wu, Yilan; Xu, Yueyuan; Wu, Gangyue; Zhang, Yang; He, Lvfu; Zhang, Jianping; Zhang, Fangxia; Qian, Xuehan; Zhang, Xiuhong; Zhou, Lianhong; Feng, Yanqing; Li, Li; He, Xiangui; Xu, Xun; Yang, Jin; Zhou, Xiyuan; Zhu, Dan; Pan, Chenwei; Ang, Marcus; Saw, Seang-Mei; Zheng, Yingfeng; He, Mingguang; Jonas, Jost B.; Bressler, Neil M.; Cheng, Ching-Yu; Tham, Yih-Chung; Zhang, Chun; Wang, Ya Xing; Wong, Tien Yin,2025, Myopia and High Myopia Trends in Chinese Children and Adolescents over 25 Years: A Nationwide Study with Projections to 2050, LANCET REGIONAL HEALTH-WESTERN PACIFIC, 10.1016/j.lanwpc.2025.101577.

6. Zhong, Yiming; Ren, Yinuo; Cao, Guangyao; Li, Feng; Qi, Haobo,2025, Optimal Starting Point for Time Series Forecasting, EXPERT SYSTEMS WITH APPLICATIONS,273, 10.1016/j.eswa.2025.126798.

7. 王雯; 李丰，2025，基于分段组合VARX模型的中国出境游客数量预测，《经济治理学刊》，第1期，255-284页。

8. Han Wang, Wen Wang, Feng Li, Yanfei Kang and Han Li, 2025, Catastrophe Duration and Loss Prediction via Natural Language Processing, VARIANCE, 18.

9. Yongchang Hui, Chijin Liu, Xiaojun Song,2025, Deep Learning Based Doubly Robust Test for Granger Causality, ARXIV, arXiv:2509.15798.

10. Shiyao Huang, Xiaojun Song, 2025, On Neyman's Smooth Tests for Symmetry about An Unknown Center, STATISTICS AND COMPUTING,36(1), 10.1007/s11222-025-10788-3.

11. Peng-Zhou, Junyi; Song, Xiaojun,2025, Self-Normalized KPSS Tests with Power Enhancement, JOURNAL OF TIME SERIES ANALYSIS, 10.1111/jtsa.12818.

12. Peiwen Jia, Xiaojun Song, Haoyu Wei,2025, Smooth Tests for Normality in ANOVA, ARXIV, arXiv:2110.04849.

13. Escanciano, Juan Carlos; Sant'Anna, Pedro H. C.; Song, Xiaojun,2025, Specification Tests for Generalised Propensity Scores Using Double Projections, JOURNAL OF NONPARAMETRIC STATISTICS, 10.1080/10485252.2025.2551752.

14. Feng, Yongzhen; Li, Jie; Song, Xiaojun,2025, Testing Linearity in Semi-functional Partially Linear Regression Models, TEST,34(3):786-814.

15. Feng, Yongzhen; Li, Jie; Lu, Haokun; Song, Xiaojun,2025, Testing Mean Independence with Functional Covariate, STATISTICS AND COMPUTING,35(6), 10.1007/s11222-025-10705-8.

16. Song, Xiaojun; Yang, Zixin,2025, Unified Specification Tests in Partially Linear Quantile Regression Models, STATISTICS & PROBABILITY LETTERS,216, 10.1016/j.spl.2024.110243.

17. Shengtao Dai; Xiaojun Song, Consistent Tests for Semiparametric Conditional Independence, 2025, STATISTICS & PROBABILITY LETTERS, 216, 110253.

18. Sun, Zhe; Tu, Yundong,2025, Factors in Fashion: Factor Analysis towards the Mode, ARXIV, 2409.19287.

19. Yu, Baichen; Wang, Xiao; Wang, Hansheng,2025, A Geometric Model with Stochastic Error for Abnormal Motion Detection of Portal Crane Bucket Grab, ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE,139, 10.1016/j.engappai.2024.109481.

20. Shi, Jiaxin; Gao, Yuan; Pan, Rui; Wang, Hansheng,2025, A Latent Factor Model for High-Dimensional Binary Data, ARXIV, 2404.08457.

21. Yu, B., Liu, J., and Wang, H.,2025, A Semiparametric Gaussian Mixture Model for Chest CT Based 3D Blood Vessel Reconstruction, BIOSTATISTICS,81(4), 10.1093/biomtc/ujaf149.

22. Liu, Kun; Zhang, Yan; Pan, Rui; Gao, Tianchen; Wang, Hansheng,2025, Academic Literature Recommendation in Large-scale Citation Networks Enhanced by Large Language Models, SCIENTOMETRICS,130(9):5143-5169.

23. Zhou, Tong; Pan, Rui; Zhang, Junfei; Wang, Hansheng,2025, An Attribute-based Node2Vec Model for Dynamic Community Detection on Co-authorship Network, COMPUTATIONAL STATISTICS,40(1):177-204.

24. Xu, Ke; Zhu, Yingqiu; Liu, Yijing; Wang, Hansheng,2025, CluBear: A Subsampling Package for Interactive Statistical Analysis with Massive Data on A Single Machine, COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION,54(6):1966-1986.

25. Jiao, Yuling; Ma, Wensen; Sun, Defeng; Wang, Hansheng; Wang, Yang,2025, Distribution Matching for Self-Supervised Transfer Learning, ARXIV, arXiv:2502.14424.

26. Zeng, Qianhan; Han, Miao; Xu, Ke; Wang, Feifei; Wang, Hansheng,2025, Doubly Smoothed Density Estimation with Application on Miners' Unsafe Act Detection, TECHNOMETRICS, 10.1080/00401706.2025.2582628.

27. Gao, Tianchen; Zhang, Yan; Pan, Rui; Wang, Hansheng,2025, Large-scale Multi-layer Academic Networks Derived from Statistical Publications, ARXIV, forthcoming.

28. Qi, Haobo; Huang, Du; Zhu, Yingqiu; Huang, Danyang; Wang, Hansheng,2025, Mini-batch Gradient Descent with Buffer, ARXIV, forthcoming.

29. Zhang, Yan; Pan, Rui; Wang, Feifei; Fang, Kuangnan; Wang, Hansheng,2025, Network Embedding for Bipartite Networks with Applications in Interlocking Directorates in Chinese Companies, COMPUTATIONAL STATISTICS,40(8):4331-4366.

30. Li, X., Huang, D., and Wang, H.,2025, Pairwise Maximum Likelihood for Multi-class Logistic Regression Model with Multiple Rare Classes, Proceedings of the International Conference on Machine Learning.

31. Huang, Danyang; Kong, Ziyi; Wu, Shuyuan; Wang, Hansheng,2025, Privacy-Protected Spatial Autoregressive Model, ARXIV, arXiv:2403.16773.

32. Lin, Ziqian; Zhao, Junlong; Wang, Fang; Wang, Hansheng,2025, Profiled Transfer Learning for High Dimensional Linear Model, ARXIV, arXiv:2406.00701.

33. Lin, Ziqian; Huang, Danyang; Xiong, Ziyu; Wang, Hansheng, Statistical Inference for Regression with Imputed Binary Covariates with Application to Emotion Recognition, ANNALS OF APPLIED STATISTICS,19(1):329-350.

34. 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.

35. 徐心; 叶强; 王汉生; 任之光; 姜广鑫; 高明越; 夏昊; 解海天; 胡丹琪; 常嘉路; 林志杰，2025，大模型时期数智商务：理论进展、关键科学问题与步骤蹊径，《中国科学基金》，第5期，686-704页。

36. Liu, Beini; Xu, Minya; Dust, Scott B.,2025, Beyond Virtual Walls: How Instructor Humility Shapes the Learner Online Learning Experience, EDUCATIONAL PSYCHOLOGY,45(2):190-214.

37. Xu, Minya; Liu, Beini; Ji, Xiaode,2025, The Key to Unlocking Implicit Status: the Effects of Interpersonal Perceptions and Leadership Emergence on Advice-giving Network Centrality, LEADERSHIP & ORGANIZATION DEVELOPMENT JOURNAL,46(3):377-391.

38. Liu, Beini; Dust, Scott; Xu, Minya; Zhang, Xinyu,2025, The Mixed Blessing of Leader Mindfulness: The Competing Lens of Dyadic Affective and Cognitive Conflicts in Investigating Follower Creativity, APPLIED PSYCHOLOGY-AN INTERNATIONAL REVIEW-PSYCHOLOGIE APPLIQUEE-REVUE INTERNATIONALE,74(1), 10.1111/apps.12597.

39. 陈丽萍; 徐敏亚; 刘圣明，2025，工作场所天生式AI使用对员工创造力的双沉影响蹊径，《治理学报》，第2期，326-335页。

40. 徐敏亚; 陈丽萍; 刘贝妮，2025，人为智能对知识型员工的影响及作用机造——基于工具性和人性子视角，《生理科学进展》，第10期，1663-1683页。

41. 陈丽萍; 徐敏亚; 徐书会，2025，天生式AI若何赋能好奇员工点燃创业火花？——工作不安全感的调节作用，《钻研与发展治理》，第3期，1-14页。

42. 顾晗; 王锐; 虞吉海，2025，国有企业社会责任对供给商企业的溢出效应钻研，《治理学报》，第1-11页。

43. 李龙飞; 杨凯; 许杏柏; 虞吉海，2025，国际业务非线性空间引力模型估计，《计量经济学报》，第2期，293-313页。

44. 高曦含; 高原; 虞吉海，2025，造度压力下资源型企业低碳转型的组织行为选择——基于合法性与效能的视角，《科技治理钻延追，第1期，211-219。

? 会讨论文（3篇）

1. 解海天，Difference-in-Differences Meets Synthetic Control，Recent Development in Econometrics.

2. 李丰，Network Regression Approach for Forecast Reconciliation，2025 NBER-NSF Time Series Conference.

3. Han, S., Zhou, J., Zhu, X., Li Z, Liu, J., Wang, H., and Gong, Y., High Resolution Image Classification with Rich Text Information Based on Graph Convolution Neural Network，The 28th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD2025).

（此数据起源于学科建设与学位治理办公室）