2023年 ，商务统计与经济计量系在学术期刊上共揭晓论文66篇 ，其中 ，国际A类刊物10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36篇；出书著作1本 。
? 国际A类刊物（10篇）
1. Chen, Songxi, Guo, Bin, Qiu, Yumou, 2023, Testing and Signal Identification for Two-sample High-dimensional Covariances via Multi-level Thresholding, Journal of Econometrics, 235, Issue 2, 1337-1354.
2. Songxi, Chen, Yumou Qiu, Shuyi Zhang, 2023, Sharp Optimality for High Dimensional Covariance Testing under Sparse Signals, Annals of Statistics, 51(5):1921-1945.
3. Xiangyu Zheng, Songxi Chen, 2023, Dynamic Synthetic Control Method for Evaluating Treatment Effects in Auto-regressive Processes, Journal of the Royal Statistical Society Series B: Statistical Methodology, 85(3):574–598.
4. Yacine A?t-Sahalia, Chenxu Li, Chen Xu Li, 2023, Maximum Likelihood Estimation of Latent Markov Models Using Closed-Form Approximations, Journal of Econometrics, forthcoming.
5. Ma, Chenchen, Tu, Yundong, 2023, Shrinkage Estimation of Multiple Threshold Factor Models, Journal of Econometrics, 235(2):1876-1892.
6. Yundong Tu, Xinling Xie, 2023, Penetrating Sporadic Return Predictability, Journal of Econometrics, 237, 105509.
7. Ma, Chenchen, Tu, Yundong, 2023, Group Fused LASSO for Large Factor Models with Multiple Structural Change, Journal of Econometrics, 233(1):132-154.
8. Ma, Yingying; Guo, Shaojun; Wang, Hansheng, 2023, Sparse Spatio-temporal Autoregressions by Profiling and Bagging, Journal of Econometrics, 232(1): 132-147.
9. Wu, Shuyuan; Huang, Danyang; Wang, Hansheng, 2023, Quasi-Newton Updating for Large-scale Distributed Learning, Journal of the Royal Statistical Society Series B-Statistical Methodology, 85(4):1326-1354.
10. Xu, Minya; Dust, Scott B.; Liu, Shengming, 2023, COVID-19 and the Great Resignation: The Role of Death Anxiety, Need for Meaningful Work, and Task Significance, Journal of Applied Psychology. 108(11), 1790-1811.
? 国际B类刊物（19篇）
1. Tong, P.F., Chen, Songxi. ,Tang, C.Y., 2023, Multivariate Calibrations with Auxiliary Information, Statistica Sinica, forthcoming
2. Shuyi Zhang, Songxi Chen,Yumou Qiu, 2023, Mean Tests For High-dimensional Time Series, Statistica Sinica, forthcoming.
3. Xie, Haitian, 2023, Efficient and Robust Estimation of the Generalized LATE Model, Journal of Business & Economic Statistics, forthcoming.
4. Chen, Dachuan; Li, Chenxu; Tang, Cheng Yong; Yan, Jun, 2023, The Leverage Effect Puzzle under Semi-nonparametric Stochastic Volatility Models, Journal of Business and Economic Statistics, forthcoming.
5. Wu, Jilin; Song, Xiaojun; Xiao, Zhijie, 2023, Testing for Trend Specifications in Panel Data Models, Journal of Business and Economic Statistics, 41(2):453-466.
6. Li, Shuo; Peng, Liuhua; Song, Xiaojun, 2023, Simultaneous Confidence Bands for Conditional Value-at- Risk and Expected Shortfall, Econometric Theory, 39:1009-1043.
7. Doukali, Mohamed; Song, Xiaojun; Taamouti, Abderrahim, 2023, Value-at-Risk under Measurement Error, Oxford Bulletin of Economics and Statistics, forthcoming.
8. Tu, Yundong; Wang, Siwei, 2023, Variable Screening and Model Averaging for Expectile Regressions, Oxford Bulletin of Economics and Statistics, 85(3) 574-598.
9. Tu, Yundong; Xie, Xinling, 2023, Forecasting Vector Autoregressions with Mixed Roots in the Vicinity of Unity, Econometric Reviews, 42(7), 556-585.
10. Qi, Haobo; Wang, Feifei; Wang, Hansheng, 2023, Statistical Analysis of Fixed Mini-Batch Gradient Descent Estimator, Journal of Computational and Graphical Statistics, 34(4): 1348-1360.
11. Wu, Shuyuan; Huang, Danyang; Wang, Hansheng, 2023, Network Gradient Descent Algorithm for Decentralized Federated Learning, Journal of Business and Economic Statistics, 41(3): 806-818.
12. Zhang, Jingfei; Cai, Biao; Zhu, Xuening; Wang, Hansheng; Xu, Ganggang; Guan, Yongtao, 2023, Learning Human Activity Patterns Using Clustered Point Processes With Active and Inactive States, Journal of Business & Economic Statistics,41(2): 388-398.
13. Gao, Yuan; Zhu, Xuening; Qi, Haobo; Li, Guodong; Zhang, Riquan; Wang, Hansheng, 2023, An Asymptotic Analysis of Random Partition Based Minibatch Momentum Methods for Linear Regression Models, Journal of Computational and Graphical Statistics, 32(3), 1083-1096.
14. Wu, S., Zhu, X., and Wang, Hansheng, 2023, Subsampling and Jackknifing: A Practically Convenient Solution for Large Data Analysis with Limited Computational Resources, Statistica Sinica, 33: 1-24.,
15. Ma, Yingying; Leng, Chenlei; Wang, Hansheng, 2023, Optimal Subsampling Bootstrap for Massive Data, Journal of Business & Economic Statistics, 42(1): 174-186.
16. Liu, Shengming; Li, Ning; Xu, Mingya, 2023, 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., forthcoming.
17. Lee, Lung-Fei; Yang, Chao; Yu, Jihai, 2023, QML and Efficient GMM Estimation of Spatial Autoregressive Models with Dominant (Popular) Units, Journal of Business & Economic Statistics, 41(2):550-562.
18. Hsuan-Yu Chang, Jihai Yu, 2023, Impact Analysis for Spatial Autoregressive Models: with Application to Air Pollution in China, Statistica Sinica, 33:2693-2714.
19. Jin, Fei; Lee, Lung-fei; Yu, Jihai, 2023, Estimating Flow Data Models of International Trade: Dual Gravity and Spatial Interactions, Econometric Reviews, 42(2):157-194.
? 海内B类刊物（1篇）
1. 徐敏亚、刘贝妮、徐振宇 ，2023 ，失却矛头：怙恃性别私见对女性职场体现的负面影响 ，《心理学报》 ，第55卷第7期 ，1148-1159页 。
? 其他揭晓及聚会论文（36篇）
1. Zhu, Yuru; Gu, Jia; Qiu, Yumou; Chen, Songxi, 2023, Real-World COVID-19 Vaccine Protection Rates against Infection in the Delta and Omicron Eras, Research, 6.
2. Zhu ，YR, Gu, J., Yumou Qiu, Songxi Chen, 2023, Estimating COVID-19 Vaccine Protection Rates via Dynamic Epidemiological Models--A Study of Ten Countries, Annals of Applied Statistics, 17(4):3324–3348.
3. Tong, P.F., Zhan, H.X., Chen, Songxi, 2023, Ensembled Seizure Detection Based on Small Training Samples, IEEE Transaction on Signal Processing, 72: 1-14.
4. Peifeng Tong, Wu Su, He Li, Jialin Ding, Haoxiang Zhan, Songxi Chen, 2023, Distribution Free Domain Generalization, Proceedings of the 40th International Conference on Machine Learning.
5. Zheng, Xiangyu, Chen, Songxi, 2023, Segmented Linear Regression Trees, Acta Mathematica Sinica, forthcoming.
6. Gu, J., Chen, Songxi, 2023, Distributed Statistical Inference under Heterogeneity, Journal of Machine Learning, Research, forthcoming.
7. Zhang, Ying; Chen, Songxi; Bao, Le, 2023, Air Pollution Estimation under Air Stagnation-A Case Study of Beijing, Environmetrics, 34(6).
8. Chen, Hanyue, Chen, Songxi, Mu Mu, 2023, A Statistical Review on the Optimal Fingerprinting Approach in Climate Change Studies, Climate Dynamics, forthcoming.
9. Xie, Haitian, 2023, Uniform Convergence Results for the Local Linear Estimation of the Conditional Distribution, Statistics & Probability Letters, 201.
10. Xi, Jin; Xie, Haitian, 2023, Strength in Numbers: Robust Mechanisms for Public Goods with many Agents, Social Choice and Welfare, 61:649-683.
11. Chen, Dachuan; Li, Chenxu, 2023, Closed-form Expansion for Option Price under Stochastic Volatility Model with Concurrent Jumps, IISE Transactions, 55(8):781-793.
12. Bo Ling, Chenchen Ma, Yundong Tu, Xinling Xie, 2023. Analyzing Structural Breaks in China’s Macroeconomy with High Dimensional Factor Model, Quarterly Journal of Economics and Management, 2(4), 37-62.
13. Zhenzhong Wang, Songxi Chen, Yundong Tu, 2023, Analyzing Chinese Consumer Price Index Comparatively with that of United States, Journal of Applied Statistics and Management, 42(1), 113-130.
14. Yingqian Lin, Yundong Tu, 2023, Transformation Models with Cointegrated and Deterministically Trending Regressors, Advances in Econometrics, 45:207-232.
15. Jing Zhou, Shan Leng, Fang Wang, Hansheng Wang. 2023, Automatic Discovery of Controversial Legal Judgments by an Entropy-based Measurement, In The 35th International Conference on Software Engineering and Knowledge Engineering, SEKE 2023, KSIR Virtual Conference Center, USA, July 1-10, pages 82–85.
16. Gao, Y., Zhang, R., Wang, Hansheng, 2023, On the Asymptotic Properties of a Bagging Estimator with a Massive Dataset, Stat, 11(1): e485.
17. Zhou, J., Jing, X., Liu, M., Wang, Hansheng, 2023, Compressing the Embedding Matrix by a Dictionary Screening Approach in Text Classification, The 26th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD2023), LNAI 13935: 457–468.
18. Li, Xuetong; Wang, Feifei; Lan, Wei; Wang, Hansheng, 2023, Subnetwork Estimation for Spatial Autoregressive Models in Large-scale Networks, Electronic Journal of Statistics, 17: 1768–1805.
19. Liu, Jin; Zhou, Jing; Lan, Wei; Wang, Hansheng, 2023, Spatial Dynamic Panel Models with Missing Data, STAT, 12(1): e585.
20. Gao, T., Pan, R., Zhang, J., Wang, Hansheng, 2023, Community Detection in Temporal Citation Network via a Tensor-based Approach, Statistics and Its Interface, 12(1).
21. Zhang, Yan; Pan, Rui; Wang, Hansheng; Su, Haibo, 2023, Community Detection in Attributed Collaboration Network for Statisticians, STAT, 12(1):e507.
22. Zhou, Jing; Hu, Bin; Feng, Wei; Zhang, Zhang; Fu, Xiaotong; Shao, Handie; Wang, Hansheng; Jin, Longyu; Ai, Siyuan; Ji, Ying, 2023, An Ensemble Deep Learning Model for Risk Stratification of Invasive Lung Adenocarcinoma using Thin-slice CT, NPJ Digital Medicine, 6: 119.
23. Pan, Rui; Zhu, Yingqiu; Guo, Baishan; Zhu, Xuening; Wang, Hansheng, 2023, A Sequential Addressing Subsampling Method for Massive Data Analysis Under Memory Constraint, IEEE Transactions on Knowledge and Data Engineering, 35(9): 9502-9513.
24. Li, Y., Chen, L., Li, D., Wang, Hansheng, 2023, Estimating Extreme value Index by Subsampling for Massive Datasets with Heavy-tailed Distributions, Statistics and Its Interface, forthcoming.
25. Qi, H., Zhu, X., Wang, Hansheng, 2023, A Random Projection Method for Large-sacle Community Detection, Statistics and Its Interface, forthcoming.
26. Wu, Wenxin; Xu, Minya; Zhou, Zixun, 2023, Targeted Poverty Alleviation Disclosure and Analyst Forecast Accuracy: Evidence from a Quasi-natural Experiment, Finance Research Letters, 54.
27. Xu Minya; Liu Beini; Xu Zhenyu, 2023, Lost Radiance: Negative Influence of Parental Gender Bias on Women's Workplace Performance, ACTA Psychologica Sinica, 55(7):1148-1159.
28. Ji, Yueting; Liu, Haiyang; Liu, Shengming; Xu, Minya; Lin, Zixiang, 2023, Are Narcissists more Creative? Only if We Believe it: How Narcissism can Relate to Creativity, Frontiers in Psychology, 13, 1091770-1091770.
29. Chen, L., Ren, F., Xu, Minya, Zhang, Z, 2023, Does Collaboration always Enhance Work Efficiency? Investigating Collective IS Use from a Process Perspective, Pacific Asia Conference on Information Systems (PACIS) 2023 Proceedings.
30. 王振中、陈松蹊、涂云东 ，2023 ，中国住民消耗价钱指数的动态结构研究及中美量化较量 ， 《数理统计与治理》 ，第42卷第1期 ，113-130页 。
31. 王寒、李辰旭 ，2023 ，基于利率和汇率的衍生品多因子定价模子 《经济治理学刊》 。
32. 凌波、马辰辰、涂云东、谢昕伶 ，2023 ，基于高维因子模子的中国宏观经济结构突变剖析 ，《经济治理学刊》 ，第2期, 37-62页 。
33. 黄丹阳、朱映秋、南金伶、王汉生 ，2023 ，基于生意流水的信用卡套现生意及商户识别 ，《数理统计与治理》 ，第42卷第1期 。
34. 温中卉、王汉生 ，2023 ，高区分率图像分类要领在直播汽车车型识别场景中的应用 ，《经济治理学刊》 。
35. 韩苗、允许、伍书缘、王汉生 ，2023 ，基于自顺应配景差分与深度学习的矿山巷道不清静行为的自动识别 ，《经济治理学刊》 。
36. 肖筱林、王汉生 ，2023 ，大数据剖析在宏观金融领域的文献综述——基于中央银行的视角 ，《经济治理学刊》 。
? 著作情形
王汉生、王菲菲 《商务统计学基� 。捍硬蝗范ㄐ缘饺斯ぶ悄�》
北京大学出书社 2023年
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