2024年
，商务统计与经济计量系在学术期刊上共揭晓论文83篇
，其中
，国际A类刊物8篇
，国际B类刊物19篇；海内B类刊物1篇
，其他揭晓及聚会论文55篇。

• 国际A类刊物（8篇）：
  

1. Zheng, Xiangyu; Chen, Song Xi, 2024, Dynamic Synthetic Control Method for Evaluating Treatment Effects in Auto-Regressive Processes, JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY, 86(1):155-176.

2. Han Yan; Song Xi Chen, 2024, Statistical Inference for Four-Regime Segmented Regression Models, THE ANNALS OF STATISTICS, 52(6):2668–2691.

3. Gu, J.; Chen, S.X., 2024, Statistical Inference for Decentralized Federated Learning, THE ANNALS OF STATISTICS, 52(6):2931–2955.

4. Ait-Sahalia, Yacine; Li, Chenxu; Li, Chen Xu, 2024, Maximum Likelihood Estimation of Latent Markov Models Using Closed-form Approximations, JOURNAL OF ECONOMETRICS, 240.

5. Huang, Yuqin; Li, Feng; Li, Tong; Lin, Tse-Chun, 2024, Local Information Advantage and Stock Returns: Evidence from Social Media, CONTEMPORARY ACCOUNTING RESEARCH, 41(2):1089-1119.

6. Ren, Yimeng; Li, Zhe; Zhu, Xuening; Gao, Yuan; Wang, Hansheng, 2024, Distributed Estimation and Inference for Spatial Autoregression Model with Large Scale Networks, JOURNAL OF ECONOMETRICS, 238.

7. Xie, Haitian, 2024, Nonlinear and Nonseparable Structural Functions in Regression Discontinuity Designs with A Continuous Treatment, JOURNAL OF ECONOMETRICS, 242.

8. Pu, Dan; Fang, Kuangnan; Lan, Wei; Yu, Jihai; Zhang, Qingzhao, 2024, Multivariate Spatiotemporal Models with Low Rank Coefficient Matrix, JOURNAL OF ECONOMETRICS, 246, 105897.

• 国际B类刊物（19篇）：

1. Zhang, SY, S.X. Chen; Yumou Qiu, forthcoming, Mean Tests for High-dimensional Time Series, STATISTICA SINICA.

2. Tong, P.F., Chen, S.X.; Tang, C.Y., forthcoming, Multivariate Calibrations with Auxiliary Information, STATISTICA SINICA.

3. Chen, Dachuan; Li, Chenxu; Tang, Cheng Yong; Yan, Jun, 2024, The Leverage Effect Puzzle under Semi-nonparametric Stochastic Volatility Models, JOURNAL OF BUSINESS & ECONOMIC STATISTICS, 42:548-562.

4. Li, C. X., Li, C., Li, C., forthcoming, Implied Local Volatility Models, JOURNAL OF EMPIRICAL FINANCE.

5. Gao, Yuan; Pan, Rui; Li, Feng; Zhang, Riquan; Wang, Hansheng, forthcoming, Grid Point Approximation for Distributed Nonparametric Smoothing and Prediction, JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS.

6. Sun, Shuang; Song, Zening; Song, Xiaojun, 2025, Unified Specification Tests in Partially Linear Time Series Models, COMPUTATIONAL STATISTICS & DATA ANALYSIS, 203.

7. Doukali, Mohamed; Song, Xiaojun; Taamouti, Abderrahim, 2024, Value-At-Risk Under Measurement Error, OXFORD BULLETIN OF ECONOMICS AND STATISTICS, 86:690-713.

8. Lin, Yingqian; Tu, Yundong, 2024, Functional Coefficient Cointegration Models with Box-Cox Transformation, ECONOMICS LETTERS, 234.

9. Tu, Yundong; Wang, Siwei, 2024, Selection Inconsistency for Factor-Augmented Regressions, ECONOMICS LETTERS, 241.

10. Dong, Chaohua; Tu, Yundong, forthcoming, Semiparametric Estimation and Variable Selection for Sparse Single Index Models in Increasing Dimension, ECONOMETRIC THEORY.

11. Zhang, Yan; Pan, Rui; Zhu, Xuening; Fang, Kuangnan; Wang, Hansheng, forthcoming, A Latent Space Model for Weighted Keyword Co-Occurrence Networks with Applications in Knowledge Discovery in Statistics, JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS.

12. Wu, Shuyuan; Zhou, Jing; Xu, Ke; Wang, Hansheng, forthcoming, Class-Distributed Learning for Multinomial Logistic Regression with High Dimensional Features and a Large Number of Classes, JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS,

13. Ma, Yingying; Leng, Chenlei; Wang, Hansheng, 2024, Optimal Subsampling Bootstrap for Massive Data, JOURNAL OF BUSINESS & ECONOMIC STATISTICS, 42:174-186.

14. Gao, Yuan; Zhang, Zhiyuan; Cai, Zhanrui; Zhu, Xuening; Zou, Tao; Wang, Hansheng, forthcoming, Penalized Sparse Covariance Regression with High Dimensional Covariates, JOURNAL OF BUSINESS & ECONOMIC STATISTICS.

15. Liu, Shengming; Li, Ning; Xu, Mingya, 2024, Good Soldiers Instead of Good Change Agents: Examining the Dual Effects of Self-Sacrificial Leadership on Pro-Social Behavior and Change-Oriented Behavior in Teams, JOURNAL OF MANAGEMENT, 50:490-522.

16. Xie, Haitian, 2024, Efficient and Robust Estimation of the Generalized LATE Model, JOURNAL OF BUSINESS & ECONOMIC STATISTICS, 42,1053-1065.

17. Yang, Zixin; Song, Xiaojun; Yu, Jihai, 2024, Model Checking in Partially Linear Spatial Autoregressive Models, JOURNAL OF BUSINESS & ECONOMIC STATISTICS, 42:1210-1222.

18. Chang, Hsuan-Yu; Song, Xiaojun; Yu, Jihai, forthcoming, Trending Time-Varying Coefficient Spatial Panel Data Models, JOURNAL OF BUSINESS & ECONOMIC STATISTICS.

19. Pu, Dan; Fang, Kuangnan; Lan, Wei; Yu, Jihai; Zhang, Qingzhao, forthcoming, Reduced Rank Spatio-Temporal Models, JOURNAL OF BUSINESS & ECONOMIC STATISTICS.

• 海内A类刊物（1篇）：

1.杨金玉; 虞吉海; 彭秋萍; 周怀康, 2024, 职场回流怎样影响科技职员立异？《治理天下》, 第5期
，第174-191页。

• 其他刊物（49篇）:

1. Zheng, Xiangyu and Chen, S.X. forthcoming, Partitioning Structure Learning for Segmented Linear Regression Trees, ACTA MATHEMATICA SINICA.

2. Zhang, Fei-Chi; Xie, Jin-Han; Chen, Song Xi; Zheng, Xiaojing, 2024, Robust Relation of Streamwise Velocity Autocorrelation in Atmospheric Surface Layers Based on An Autoregressive Moving Average Model, JOURNAL OF FLUID MECHANICS, 981.

3. Chen, Hanyue; Chen, Song Xi; Mu, Mu, 2024, A Statistical Review on The Optimal Fingerprinting Approach in Climate Change Studies, CLIMATE DYNAMICS, 62:1439-1446.

4. Jia Gu, Song Xi Chen, 2024, Distributed Statistical Inference under Heterogeneity, THE JOURNAL OF MACHINE LEARNING RESEARCH, 24:18536-18592.

5. Yan, Han; Chen, Song Xi, forthcoming, Transfer Learning with General Estimating Equations, ARXIV.

6. Pei Feng Tong, Haoran Yang, Xinru Ding, Yuchuan Ding, Xiaokun Geng, Shan An, Guoxin Wang; Song Xi Chen, 2024, Debiased Estimation and Inference for Spatial-Temporal EEG/MEG Source Imaging, IEEE TRANSACTIONS ON MEDICAL IMAGING.

7. Pei Feng Tong, Bosi Dong, Xiangdong Zeng, Lei Chen, Song Xi Chen, 2024, Detection of Interictal Epileptiform Discharges Using Transformer Based Deep Neural Network for Patients with Self-limited Epilepsy with Centrotemporal Spikes, BIOMEDICAL SIGNAL PROCESSING AND CONTROL, 101.

8. Hao-Xuan Sun, Shouxia Wang, Xiaogu Zheng, Song Xi Chen, 2024, High-dimensional Ensemble Kalman Filter with Localization, Inflation and Iterative Updates. QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY.

9. Zheng
   ， Xiangyu; Chen
   ， S.X., forthcoming, Segmented Linear Regression Trees
   ， ACTA MATHEMATICA SINICA.

10. Tong, P.F., Zhan, H.X.; Chen, S.X., 2024, Ensembled Seizure Detection based on Small Training Samples, IEEE TRANSACTION ON SIGNAL PROCESSING, 72: 1-14.

11. Han Wang, Wen Wang, Feng Li, Yanfei Kang; Han Li, forthcoming, Catastrophe Duration and Loss Prediction via Natural Language Processing. VARIANCE.

12. Song, Xiaojun; Yang, Zixin, 2025, Unified Specification Tests in Partially Linear Quantile Regression Models, STATISTICS & PROBABILITY LETTERS, 203.

13. Song, Xiaojun; Sun, Zhenting forthcoming, Almost Dominance: Inference and Application, ARXIV.

14. Dai, Shengtao; Song, Xiaojun, 2024, Consistent Tests for Semiparametric Conditional Independence, STATISTICS & PROBABILITY LETTERS, 216.

15. Feng, Yongzhen; Li, Jie; Song, Xiaojun, 2024, Testing Conditional Quantile Independence with Functional Covariate, BIOMETRICS, 80.

16. Sun, Zhe; Tu, Yundong, forthcoming, Factors in Fashion: Factor Analysis Towards the Mode, ARXIV.

17. Liu, Beini; Xu, Minya; Yao, Jingjing, 2024, Suffered from Deep-Seated Childhood Shadows: Linking Childhood Emotional Abuse to Interpersonal Conflict at Work and Workplace Ostracism, PERSONALITY AND INDIVIDUAL DIFFERENCES, 229.

18. Cui, Ziyan; Liu, Yangjie; Sun, Xiaoxiao; Shang, Zhe; Xu, Minya, 2024, Veiled to Express: Uncovering the Effect of Mask-Wearing on Voice Behavior in the Workplace, BEHAVIORAL SCIENCES, 14.

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

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

21. Li, Yongxin; Qi, Haobo; Wang, Hansheng, 2024, A Note about Why Deep Learning is Deep: A Discontinuous Approximation Perspective, STAT, 13.

22. Qi, Haobo; Zhu, Xuening; Wang, Hansheng, 2024, A Random Projection Method for Large-Scale Community Detection, STATISTICS AND ITS INTERFACE, 17:159-172.

23. Li, Xuetong; Gao, Yuan; Chang, Hong; Huang, Danyang; Ma, Yingying; Pan, Rui; Qi, Haobo; Wang, Feifei; Wu, Shuyuan; Xu, Ke; Zhou, Jing; Zhu, Xuening; Zhu, Yingqiu; Wang, Hansheng, 2024, A Selective Review on Statistical Methods for Massive Data Computation: Distributed Computing, Subsampling, and Minibatch Techniques, STATISTICAL THEORY AND RELATED FIELDS, 8:163-185.

24. Zeng, Qianhan; Zhou, Jing; Ji, Ying; Wang, Hansheng, forthcoming, A Semiparametric Gaussian Mixture Model for Chest Ct-Based 3D Blood Vessel Reconstruction, BIOSTATISTICS.

25. Zhou, Tong; Pan, Rui; Zhang, Junfei; Wang, Hansheng, forthcoming, An Attribute-Based Node2Vec Model for Dynamic Community Detection on Co-Authorship Network, COMPUTATIONAL STATISTICS.

26. Gao, Tianchen; Liu, Jingyuan; Pan, Rui; Wang, Hansheng, 2024, Citation Counts Prediction of Statistical Publications Based on Multi-Layer Academic Networks via Neural Network Model, EXPERT SYSTEMS WITH APPLICATIONS, 238.

27. Xu, Ke; Zhu, Yingqiu; Liu, Yijing; Wang, Hansheng, forthcoming, CluBear: A Subsampling Package for Interactive Statistical Analysis with Massive Data on A Single Machine, COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION.

28. Li, Yongxin; Chen, Liujun; Li, Deyuan; Wang, Hansheng, 2024, Estimating Extreme Value Index by Subsampling for Massive Datasets with Heavy-Tailed Distributions, STATISTICS AND ITS INTERFACE, 17:605-622.

29. Li, Xuetong; Zhou, Jing; Wang, Hansheng, 2024, Gaussian Mixture Models with Rare Events, JOURNAL OF MACHINE LEARNING RESEARCH, 25:1-40.

30. Zeng, Qianhan; Zhu, Yingqiu; Zhu, Xuening; Wang, Feifei; Zhao, Weichen; Sun, Shuning; Su, Meng; Wang, Hansheng, 2024, Improved Naive Bayes with Mislabeled Data, STATISTICS AND ITS INTERFACE, 17:323-336.

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

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

33. Shi, Jiaxin; Wang, Fang; Gao, Yuan; Song, Xiaojun; Wang, Hansheng, 2024, Mixture Conditional Regression with Ultrahigh Dimensional Text Data for Estimating Extralegal Factor Effects, ANNALS OF APPLIED STATISTICS, 18:2532-2550.

34. Huang, Danyang; Kong, Ziyi; Wu, Shuyuan; Wang, Hansheng, forthcoming, Privacy-Protected Spatial Autoregressive Model, ARXIV.

35. Lin, Ziqian; Zhao, Junlong; Wang, Fang; Wang, Hansheng, forthcoming, Profiled Transfer Learning for High Dimensional Linear Model, ARXIV.

36. Lin, Ziqian; Huang, Danyang; Xiong, Ziyu; Wang, Hansheng, forthcoming, Statistical Inference for Regression with Imputed Binary Covariates with Application to Emotion Recognition, ANNALS OF APPLIED STATISTICS.

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

38. Ai, Chunrong; Fang, Yue; Xie, Haitian, forthcoming, Data-Driven Policy Learning for A Continuous Treatment, ARXIV.

39. Xie, Haitian; Zhu, Ying; Shishkin, Denis, forthcoming, On the Limitations of Data-Based Price Discrimination, ARXIV.

40. 陈松蹊; 陈国青; 常晋源; 霍红; 张新雨; 朱雪宁; 王汉生, 2024, 大规模商务场景的统计治理理论, 《中国科学基金》。

41. 陈丽萍; 晏梦灵; 方姝; 徐敏亚, 2024, 本科生-团队匹配度对科研能力和意愿的影响——基于小我私家-情形匹配理论的混淆研究, 《高等工程教育研究》
    ，第5期
    ，第140-146页。

42. 周梓洵、吴文心、孙澜澜、徐敏亚, 吸收待揭晓
    ，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》。

43. 白雪峰; 熊子瑜; 王汉生, 2024, 基于电话销售语音数据的客户购车意向甄别模子, 《经济治理学刊》, 第2期
    ，第189-216页。

44. 洪永淼
    ，解海天
    ，奚晋, 2024, 为数字经济蓬勃生长提供新的理论指引, 《中国社会科学报》。

45. 李龙飞; 虞吉海, 2024, 空间面板数据模子——基于空间计量的文献综述, 《经济治理学刊》, 第3卷第1期
    ，第83-114页。

46. 高曦含; 高原; 虞吉海, 2024, 资源型企业低碳转型的制度化演变历程——基于扎根理论的多案例研究, 《华东经济治理》
    ，第38卷第6期
    ，第76-84页。

47. 高曦含
    ，高原
    ，虞吉海, 吸收待揭晓
    ，推照旧拉？制度压力下资源型企业低碳转型行为研究. 《科技治理研究》。

48. 陈诗源,任菲,虞吉海, 2024
    ，生产网络视角下的碳税制度. 《经济治理学刊》
    ，第3卷第3期
    ，第143-172页。

49. 顾晗,王锐,虞吉海, 吸收待揭晓
    ，国有企业发动高质量生长的溢出效应研究. 《治理学报》。

• 智库报告（1篇）：
  

1. 解海天, 2024, 数字经济学科建设助力经济高质量加“数”跑, 三中全会。

• 聚会论文（5篇）：

1. Haitian, Xie, 2024, Data-Driven Policy Learning for a Continuous Treatment, First Macau International Conference on Business Intelligence and Analytics.Yundong Tu, 2024, Regime-specific Return Predictability in Quantiles, 2024 CUHK Econometrics Workshop.

2. Yundong Tu, 2024, Regime-specific Return Predictability in Quantiles, 2024 CUHK Econometrics Workshop.

3. Minya Xu, 2024, Promethean Anxiety from AI Adoption: Employees’ Need for Self-Actualization and Turnover Intention, The Academy of Management (AOM) Annual Meeting.

4. Minya Xu, 2024, The Double-Edged Sword of Generative AI Usage on Employee Creativity: A Dual Pathway Model, The Academy of Management (AOM) Annual Meeting.

5. Minya Xu, The Ripple Effect of Career Compromise on Feedback-Seeking and Extra-Role Behaviors, The Academy of Management (AOM) Annual Meeting.

（此数据泉源于学科建设与学位治理办公室）