Zongwu Cai, Ying Fang, Ming Lin, and Shengfang Tang (2024), “A Nonparametric Test of Heterogeneity in Conditional Quantile Treatment Effects”, Forthcoming in Econometric Theory

Zongwu Cai, Ying Fang, Ming Lin, and Zixuan Wu (2024), “A Quasi Synthetic Control Method for Nonlinear Models with High-Dimensional Covariates”, Forthcoming in Statistica Sinica.

Chencheng Cai, Rong Chen, and Ming Lin (2024), “Resampling Strategy in Sequential Monte Carlo for Constrained Sampling Problems”, Statistica Sinica, 34, 1187-1214

Zongwu Cai, Ying Fang, Ming Lin, and Shengfang Tang (2024), “Testing Conditional Independence in Casual Inference for Time Series Data”, Statistica Neerlandica, 34, 397-426

Mingfeng Zhan, Ying Fang, and Ming Lin (2022), “Comparison of Covariate Balance Weighting Methods in Estimating Treatment Effects”, Journal of Systems Science and Complexity, 35, 2263–2277

Shengfang Tang, Ying Fang, Zongwu Cai, and Ming Lin (2021), “A New Quantile Treatment Effect Model for Studying Smoking Effect on Birth Weight during Mother's Pregnancy”, Journal of Management Science and Engineering, 6, 336-343

Shengfang Tang, Ying Fang, Zongwu Cai, and Ming Lin (2020), “An Alternative Test for Conditional Unconfoundedness Using Auxiliary Variables”, Economics Letters, 194, 109320, 1-5

Zeqin Liu, Zongwu Cai, Ying Fang, and Ming Lin (2020), “Statistical Analysis and Evaluation of Macroeconomic Policies: A Selective Review”, Applied Mathematics: A Journal of Chinese Universities, 35(1), 57-83

Zongwu Cai, Ying Fang, Ming Lin, and Jia Su (2019), "Inference for a Partially Varying Coefficient Model with Endogenous REgressors". Journal of Business & Economic Statistics, 37, 158-170.

Ming Lin, Eric A. Suess, Robert H. Shunway, and Rong Chen (2016), “Bayesian Deconvolution of Signals Observed on Arrays”.　Journal of Time Series Analysis, 37, 837-850.

Ming Lin, Rong Chen, and Jun S. Liu (2013), “Lookahead Strategies for Sequential Monte Carlo”, Statistical Science, 28, 69-94.

Ming Lin, Jian Zhang, Hsiao-Mei Lu, Rong Chen and Jie Liang (2011), “Constrained Proper Sampling of Conformations of Transition State Ensemble During Protein Folding”, Journal of Chemical Physics, 134(075103) , 1-13.

Ming Lin, Rong Chen, and Per Mykland (2010), “On Generating Monte Carlo Samples of Continuous Diffusion Bridges”, Journal of the American Statistical Association, 105, 820-838.

Rong Chen, Re-jin Guo, and Ming Lin (2010), “Self-selectivity in Firm’s Decision to Withdraw IPO: Bayesian Inference for Hazard Models of Bankruptcy with Feedback”, Journal of the American Statistical Association, 105, 1297-1309.

Ming Lin, Hsiao-mei Lu, Rong Chen, and Jie Liang (2009), “Generating Properly Weighted Ensemble of Conformations of Proteins from Sparse or Indirect Distance Constraints”, Journal of Chemical Physics, 129(094101), 1-13.

Jian Zhang, Joseph Dundas, Ming Lin, Rong Chen, Wei Wang, and Jie Liang (2009), “Prediction of Geometrically Feasible Three Dimensional Structures of Pseudoknotted RNA through Free Energy Estimation”, RNA, 15, 2248-2263.

Jian Zhang, Ming Lin, Rong Chen, Wei Wang, and Jie Liang (2008), “Discrete State Model and Accurate Estimation of Loop Entropy of RNA Secondary Structures”, Journal of Chemical Physics, 128(125107), 1-10.

Ming Lin, Rong Chen, and Jie Liang (2008), “Statistical Geometry of Lattice Chain Polymers with Voids of Defined Shapes: Sampling with Strong Constraints”, Journal of Chemical Physics, 128(084903), 1-12.

Jinfeng Zhang, Ming Lin, Rong Chen, Jie Liang, and Jun S. Liu (2007), “Monte Carlo Sampling of Near-Native Structures of Proteins with Applications”, Proteins: Structure, Function, and Bioinformatics, 66, 61-68, 2007.

Junni L. Zhang, Ming Lin, Jun S. Liu, and Rong Chen (2007), “Lookahead and Piloting Strategies for Variable Selection”, Statistica Sinica, 17, 985-1003.

Ming Lin, Junni L. Zhang, Qiansheng Cheng, and Rong Chen (2005), “Independent Particle Filters”, Journal of the American Statistical Association, 100, 1412-1421. 

邓兴磊，方颖，林明（2022），“基于非线性倍差法的个体处理效应估计与应用”，系统工程理论与实践，第42卷，第6期，1413-1422

蔡宗武，方颖，林明，唐盛芳（2021），“部分条件分位数处理效应的估计”，计量经济学报，第1卷，第4期，741-762

范菊逸，詹铭峰，蔡宗武，方颖，林明（2021），“带有变量选择的协变量平衡倾向得分的估计：基于GMM-LASSO方法”，系统工程理论与实践，第41卷，第10期，2631-2639

王佳佳，林明（2019），“基于聚类动态面板引力模型的国际贸易网络研究”，系统工程理论与实践，第39卷，第4期，1042-1050

杨远，林明（2016），“基于多重尝试Metropolis 算法的非线性DSGE 模型贝叶斯推断”，统计研究，第32卷，第2期，91-98