Chen, S.X., Smith, P.J., Shafi, M. and Vere-Jones, D. (1990). Some improvements to conventional importance sampling techniques for coded system using Viterbi decoding. Electronics Letters, 26, 802-806.
Chen, S.X. (1993). On the coverage accuracy of empirical likelihood confidence regions for linear regression model. Annals of Institute of Statistical Mathematics, 45, 621-637.
Chen, S.X. and Hall, P. (1993). Smoothed empirical likelihood confidence intervals for quantiles. Annals of Statistics, 21, 1166-1181.
Chen, S.X. and Hall, P. (1994). On the calculation of standard error for quotation in confidence statements. Statistics and Probability Letters, 19, 147-151.
Chen, S.X. (1994). Empirical likelihood confidence intervals for linear regression coefficients. Journal of Multivariate Analysis, 49, 24-40.
Chen, S.X. (1994) Comparing empirical likelihood and bootstrap hypothesis tests. Journal of Multivariate Analysis, 51, 277-293.
Chen, S.X. (1996a) A kernel estimate for density of a biological population using line transect sampling. Royal Statistical Society Ser. C: Applied Statistics 45, 135-150.
Chen, S.X. (1996b) Studying school size effects in line transect sampling using the kernel method. Biometrics, 52, 1283-94.
Chen, S.X. (1996c) Empirical likelihood confidence intervals for nonparametric density estimation. Biometrika, 83, 329-341.
Chen, S.X. and Polacheck, T. (1996) Kernel estimates of mean school size for IWC minke whale data. Report of International Whaling Commission, 46, 341-348.
Chen, S.X. (1997). Empirical likelihood based kernel density estimation. Australian Journal of Statistics, 39, 47-56
Chen, S.X. (1998). Measurement errors in line transect surveys. Biometrics, 54, 899-908.
Brown, B. M. and Chen, S. X. (1998) Combined Empirical Likelihood. Annals of Institute of Statistical Mathematic, 50, 697-714.
Brown, B. M. and Chen, S. X. (1999) Beta-Bernstein smoothing for regression curves with compact support. Scandinavian Journal of Statistics, 26, 47-59.
Chen, S. X. (1999a) Estimation in independent observer line transect surveys for clustered populations. Biometrics, 55, 754-759.
Chen, S. X. and Woolcock, J. (1999) A condition for designing bus-route type access site surveys to estimate recreational fishing effort. Biometrics, 55, 799-804.
Chen, S. X. (1999b) Beta kernel estimators for density functions. Computational Statistics and Data Analysis, 31, 131-145.
Chen, S. X. (2000a) Beta kernel smoothers for regression curves. Statistica Sinica, 10, 73-91.
Chen, S. X. (2000b) Animal abundance estimation for independent observer line transect surveys. Special Issue of Environmental and Ecological Statistics: Statistical Ecology and Forest Biometry, 7, 285-299.
Chen, S. X. (2000c) Gamma kernel estimators for density functions. Annals of Institute of Statistical Mathematics, 52, 471-480.
Chen, S. X. and Lloyd, C. J. (2000). A non-parametric approach to the analysis of two stage mark-recapture experiments. Biometrika, 87, 633-649.
Chen, S. X. and Qin, Yong Song (2000). Empirical Likelihood confidence interval for a local linear smoother.Biometrika, 87, 946-953.
Chen, S. X. and Cowling, A. (2001). Measurement Errors in Line Transect Surveys where Detection varies with Distance and Size. Biometrics, 57, 732-742.
Chen, S. X. and Qin, Yong Song (2002). Confidence interval based on a local linear smoother. Scandinavian Journal of Statistics, 29, 89-99.
Chen, S. X. and Lloyd, C. J. (2002). Estimation of population size based on biased samples using nonparametric binary regression. Statistica Sinica, 12, 505-518.
Chen, S. X. (2002). Local linear smoothers using asymmetric kernels. Annals of Institute of Statistical Mathematics, 54, 312-323.
Chen, S. X, Yip, P. and Zhou, Y. (2002). Sequential line transect surveys. Biometrics, 58, 263-269.
Chen, S. X., Hardle, W. and Kleinow, T. (2002). An empirical likelihood goodness-of-fit test for diffusions. Applied quantitative finance, 259-281, Springer, Berlin.
Chen, S. X. and Hall, P. (2003). Effects of bagging and bias correction on estimators defined by estimating equations, Statistica Sinica, 13, 97-109.
Chen, S. X and Cui, H-J. (2003). An extended empirical likelihood for generalized linear models. Statistica Sinica, 13, 69-81.
Cui, H-J and Chen, S.X. (2003). Empirical likelihood confidence regions for parameter in the error-in-variable models, Journal of Multivariate Analysis, 84 (1), 101-115.
Chen, S. X. and Qin, J. (2003) Empirical likelihood based confidence intervals for data with possible zero observations. Statistics and Probability Letters, 65, 29-37.
Chen, S. X., Haredle, W. and Li, M. (2003). An empirical likelihood goodness-of-fit test for time series. Journal of The Royal Statistical Society, Series B, 65, 663-678.
Chen, S. X., D. H. Y. Leung and Qin, J. (2003) Information Recovery in a Study with Surrogate Endpoints. Journal of the American Statistical Association, 98, 1052-1062.
Chen, S. X. and Qin, Y-S. (2003). Coverage accuracy of confidence intervals in nonparametric regression. Acta Math. Appl. Sin. Engl. Ser., 19, 387-396.
Chen, S. X. and Tang, C. (2005). Nonparametric Estimation of Value at Risk and the Standard Errors for Financial Returns. Journal of Financial Econometrics, 3, 227-255.
Chen, S.X. and Cui, H. J. (2006). On Bartlett Correction of Empirical Likelihood in the Presence of Nuisance Parameters. Biometrika, 93, 215-220.
Chen, S. X. and Qin, J. (2006). An Empirical likelihood Method in Mixture Models with Incomplete Classifications, Statistica Sinica 16, 1101-1115.
Chen, S.X. and Cui, H. J. (2007). On the Second Order Properties of Empirical Likelihood for Generalized Estimation Equations. Journal of Econometrics, 141, 492-516.
Chen, S.X. and J. Gao (2007). An Adaptive Empirical Likelihood Test for Time Series Models. Journal of Econometrics, 141, 950-972.
Chen, S. X. and T. Huang (2007). Nonparametric Estimation of Copula Functions. Canadian Journal of Statistics, 35, 265-282.
Chen, S.X., J. Gao and Tang, C. Y. (2008) A test for model specification of diffusion processes, The Annals of Statistics, 36, 167-198.
Chen, S.X (2008), Nonparametric Estimation of Expected Shortfall, Journal of Financial Econometrics, 6, 87-107.
Chen, S. X., Leung, D. Y. H. and J. Qin. (2008), Improved Semiparametric Estimation Using Surrogate Data, Journal of the Royal Statistical Society, Series B, 803-823.
Wang, D. and S.X. Chen (2009), Empirical Likelihood for Estimating Equation with Missing Values, The Annals of Statistics, 37, 490-517.
Chen, Song Xi and Chiu Min Wong (2009) Smoothed Block Empirical Likelihood for Quantiles of Weakly Dependent Processes, Statistica Sinica, 19, 71-82.
Wang, D. and Chen, S. X. (2009): Combining quantitative trait loci analyses and microarray data, an empirical likelihood approach, Computational Statistics and Data Analysis, 53, 1661-1673.
C. Yong Tang and Chen, S. X. (2009), Parameter estimation and bias correction of diffusion processes, Journal of Econometrics, 149, 65-81.
Chen, S. X., L. Peng and Y-L, Qin (2009) Effects of Dimensionality on empirical likelihood, Biometrika, 96, 711–722.
Chen, S. X. and I. Van Keilegom (2009) Empirical Likelihood Test for a Class of Regression Models, Bernoulli, 15, 955-976.
Chan, N-H, Chen, S.X., Peng, L. and C. L. Yu (2009), Empirical Likelihood Methods Based on Characteristic Functions with Applications to L'evy Processes. Journal of the American Statistical Association, 104, 1621-1630.
Chen, S. X. and I. Van Keilegom (2009) A review on empirical likelihood for regressions (with discussions), Test, 3,415-447.
Chen, S. X. and Y-L Qin (2010) A Two Sample Test for Ultra High Dimensional Data with Applications to Gene Sets Testing. The Annals of Statistis, 38, 808-835.
Chen, S. X., C. Y. Tang and V. T. Mule, jr. (2010) Local post-stratification and diagnostics in Dual System Accuracy and Coverage Evaluation for US Census, Journal of the American Statistical Association, Application and Case Study Section, 105, 105-119.
Chen, S. X., Delaigle, A. and Hall, P. (2010) Nonparametric estimation for levy-type processes, Journal of Econometrics,157, 257-271.
Chen, S.X., Zhang, L-X. and P-S Zhong (2010) Testing high dimensional covariance matrices, Journal of the American Statistical Association, 105, 810-819.
Chen, S. X. and P-S Zhong (2010) ANOVA for longitudinal data with missing values. The Annals of Statistics, 38, 3630-3659.
Alzghool, R. , Y-X Lin and S. X. Chen (2010) Asymptotic Quasi-likelihood Based on Kernel Smoothing for Multivariate Heteroskedastic Models with Correlation, AMERICAN JOURNAL OF MATHEMATICAL AND MANAGEMENT SCIENCES, 30, 147-177.
P-S Zhong and S. X. Chen (2011). Tests for High Dimensional Regression Coefficients with Factorial Designs. Journal of the American Statistical Association, 106, 260-274.
Chen, S.X. and J. Gao (2011). Simultaneous Specification Test for the Mean and Variance Structures for Nonlinear Time Series Regression. Econometric Theory, 27, 792–843.
Chen, S. X. and C. Y. Tang (2011). Properties of Census Dual System Population Size Estimators. International Statistical Review, 79， 336-361.
J.-Y. Chang and S.X. Chen (2011). On the approximate maximum likelihood estimation for diffusion processes. The Annals of Statistics, 39， 2820-2851.
Chen, S. X. and C. Y. Tang (2011). Nonparametric Regression with Discrete Covariates and Missing Value. Statistics and Its Interface, 4， 463-273.
Li, J. and S. X. Chen (2012). Two Sample Tests for High Dimensional Covariance Matrices, The Annals of Statistics, 40, 908-940
Qiu, Y-M and Chen, S. X. (2012). Test for Bandedness of High Dimensional Covariance Matrices with Bandwidth Estimation, The Annals of Statistics, 40, 1285-1314.
Chen, S. X., Peng, L. and C. L. Yu (2013). Parameter Estimation and Model Testing for Markov Processes via Conditional Characteristic Functions, Bernoulli, 19, 228-251.
Chen, S. X., Tang, C.Y. and J. Qin (2013). Mann-Whitney Test with Adjustments to Pre-treatment Variables for Missing Values and Observational Study, Journal of the Royal Statistical Society, Series B, 75, 81-102.
Chen, S. X. and Van Keilegom, I. (2013) Estimation in semiparametric models with missing data. Annals of the Institute of Statistical Mathematics, 65, 785-805.
P-S Zhong, Chen, S. X. and Minya Xu (2013) Tests alternative to higher criticism for high dimensional means under sparsity and column-wise dependence, The Annals of Statistics, 41, 2820-2851.
Chen, S.X. and Z. Xu (2013) On smoothing estimation for seasonal time series with long cycles, Statistics and Its Interface, 6, 435-447.
Chen, S. X and Z. Xu (2014) On the implied volatility for options -- some reasons to smile and more to correct. Journal of Econometrics, 179, 1-15.
J. Chang, Chen, S. X. and Chen, X. (2015) Empirical likelihood of high dimensional estimating equations with dependent data. Journal of Econometrics, 185, 283-304.
Y. Qiu and S.X. Chen, (2015) Band Width Selection for High Dimensional Covariance Matrix Estimation. Journal of the American Statistical Association, 110, 1160-1174.
Liang, X., T, Zuo, B. Guo, S. Li, H. Zhang, S. Zhang, H. Huang and S. X. Chen. (2015). Assessing Beijing's PM2.5 Pollution: Severity, Weather Impact, APEC and Winter Heating, Proceedings of the Royal Society A, 471, 20150257.
Chen, S.X., Lei, L.-H. and Tu, Y-D (2016). Functional Coefficient Moving Average Models with applications to forecasting Chinese CPI, Statistica Sinica, , 26, 1649-1672.
Guo, B. and S.X. Chen (2016). Tests for High Dimensional Generalized Linear Models. Journal of the Royal Statistical Society, Series B. 78，1079–1102
Wang, Y., Tu, Y-D and S. X. Chen (2016) Improving inflation prediction with the quantity theory. Economics Letters, 149, 112-115.
Chen, S.X. (2016) Peter Hall's Contribution to the Bootstrap, The Annals of Statistics, 44, No. 5, 1821–1836.
Liang, X., Li, S., Zhang, SY, Huang, H. and S.X. Chen (2016). PM2.5 Data Reliability, Consistency and Air Quality Assessment in Five Chinese Cities, Journal of Geophysical Research—Atmosphere, 121(17), 10220–10236.
Peng, LH, S.X. Chen and W, Zhou (2016) More Powerful Tests for Sparse High-Dimensional Covariances Matrices, Journal of Multivariate Analysis, 149, 124-143.
He, J. and S. X. Chen (2016) Testing Super-Diagonal Structure in High Dimensional Covariance Matrices, Journal of Econometrics, 194, 283-297.
Shuyi Zhang, Bin Guo, Anlan Dong, Jing He, Ziping Xu, Song Xi Chen (2017). Cautionary Tales on Air Quality Improvement in Beijing, Proceedings of the Royal Society A, 473: 20170457.
Zuo, T. and S. X. Chen (2017). Enhancing Estimation for Interest Rate Diffusion Models with Bond Prices. Journal of Business and Economics Statistics, 35:3, 486-498.
Y. Qiu, S.X. Chen, D. Nettleton (2018) Detecting Rare and Faint Signals via Thresholding Maximum Likelihood Estimators. The Annals of Statistics, 46， 895-923. .
Chen, L., Guo, B., Huang, J., He, J., Wang, H., Shuyi Zhang, and S.X. Chen (2018). Assessing air-quality in Beijing-Tianjing-Hebei region: the method and mixed tales of PM2.5 and O3. Atmospheric Environment, 193, 290-301.
J. He and S. X. Chen (2018) High-Dimensional Two-Sample Covariance Matrix Testing via Super-diagonals, Statistica Sinica, 28，2671-2696.
Li, HB, Wu, JW., Wang, AX, Li, X, Chen, SX, Wang, TQ, Amsalu, E., Gao, Q., Luo, YX, Yang, XH., Wang, W, Guo, J., Guo, YM, Guo, XH. (2018). Effects of ambient carbon monoxide on daily hospitalizations for cardiovascular disease: a time-stratified case-crossover study of 460,938 cases in Beijing, China from 2013 to 2017, ENVIRONMENTAL HEALTH, 17:82.
S.X. Chen, J. Li and P.-S. Zhong, (2019) Two-Sample and ANOVA Tests for High Dimensional Means, The Annals of Statistics, 47, 1443-1474.
Mao, X., Chen, SX and Wong, R. (2019) Matrix Completion with Covariate Information, Journal of the American Statistical Association, 114, 198-210.
Zheng, XY and Chen, SX (2019) Partitioning Structure Learning for Segmented Linear Regression Trees, Advances in Neural Information Processing Systems (NeurIPS), 2019.
Mao, X-J., Wong, R. K-W and Chen, S. X. (2020) Matrix Completion under Low-Rank Missing Mechanism, Statistica Sinica, to appear
Shuyi Zhang, Song Xi Chen, Bin Guo, Hengfang Wang, Wei Lin (2020) Regional Air-Quality Assessment That Adjusts for Meteorological Confounding, Science China Mathematics, 50, 527-558.
Xu, Z., Chen, S. X. and Wu, X. (2020) Meteorological Change and Impacts on Air Pollution Results from North China, Journal of Geophysics Research-Atmosphere, 125 (16), e2020JD032423.
Zhang, S., Chen, S.X. and L. Lu (2020), Inference for Variance Risk Premium, China Finance Review International, to appear https://doi.org/10.1108/CFRI-04-2020-0044
Sun, H., Qiu, Y., Yan, H., Huang, Y., Zhu, Y., Gu, J. and Chen, S.X. (2020) Tracking Reproductivity of COVID-19 Epidemic in China with Varying Coefficient SIR Model (with discussion), Journal of Data Science, 18 (3), 455–472.
Wan, Y., Xu, M., Huang, H. and Chen, S.X. (2020) A spatio-temporal model for the analysis and prediction of fine particulate matter concentration in Beijing, Enviromentrics, e2648.
Wu, H., Zheng, X., Zhu, J., Lin, W., Zheng, H., Chen, X., Wang, W., Wang, Z., and S. X. Chen (2020). Improving PM2.5 forecasts in China suing an initial error transport model, Environmental Science and Technology, 54(17), 10493-10501.
Gu, J., Yan, H., Huang, J., Zhu, Y., Sun, H., Qiu, Y. and S. X. Chen（2020）, Comparing Containment Measures among Nations by Epidemiological Effects of COVID-19. National Science Review, 7 (12), 1847-1851.
Wu, H., Lin, W., Kong, L., Tang, X., Wang, W. Wang, ZF and S.X. Chen (2021) A Fast Emission Inversion Scheme Based on Ensemble Optimal Interpolation, Climate and Environmental Research (in Chiese), 26 (2), 191-201.
Zheng, X-Y., Guo, B., He, J. and Chen, S.X. (2021) Effects of COVID-19 Control Measures on Air Quality in North China, Envirionmentrics,2021, e2673.
Chen, S.X. and Zheng, XY (2021) Discussion of ``The timing and effectiveness of implementing mild interventions of COVID-19 in large industrial regions via a synthetic control method", Statistics and Its Interface, 14, 23-24.
Zhang, HM and Chen, S. X. (2021), Concentration Inequalities for Statistical Inference, Communications in Mathematical Research, 37, 1-85.
Chang, J-Y., Chen, S.X., Tang, C-Y. and Wu, T-T (2021) High-dimensional empirical likelihood inference, Biometrika, 108, 127-147.
Chen, S.X. and L-H Peng (2021) Distributive statistical inference for massive data, The Annals of Statistics, 2021, Vol. 49, No. 5, 2851–2869.
Zhu, Y.R.，Liang, Y.S. and Chen, S.X. (2021) Assessing Local Emission for Air Pollution via Data Experiments, Atmospheric Environment, 252, 118323.
Yan, H., Zhu, YR., Gu, J., Huang, YX., Sun, HX., Zhang, XY., Wang, YT., Qiu, YM. and Chen, S.X. (2021). Better strategies for containing COVID-19 pandemic: a study of 25 countries via a vSIADR model, Proceedings of the Royal Society A, 476: 20200440.
Gu, J., Chen, S X., Dong, Q. and Qiu, YM (2021）The effect of population migration and Wuhan lockdown on the control of COVID-19 epidemic based on vSEIdRm model, Statistical Research, Vol.38, No.9.
Huang, YX, Guo, B., Sun, HX, Liu, HJ and S X Chen (2021). Relative Importance of Meteorological Variables on Air Quality and Role of Boundary Layer Height, Atmospheric Environment,267,118737.
王振中, 陈松蹊, 涂云东 (2021). 中国居民消费价格指数的动态结构研究及中美量化比较, 数理统计与管理, 待发表。
Li, S., Liu, R., Wang, S., & Chen, S. X. (2021). Radiative effects of particular matters on ozone pollution in six North China cities. Journal of Geophysical Research: Atmospheres, 126, e2021JD035963.
陈松蹊，毛晓军，王聪 （2022）大数据情境下的数据完备化：挑战与对策。 管理世界，2022年第1期。
Tong, P. F., Chen, S. X., & Tang, C.Y. (2022). Detecting and evaluating dust-events in North China with ground air quality data. Earth and Space Science, 9, e2021EA001849.
Luo,S.S , Zhu,Y.R. & Chen, S.X.(2022). Episode based air quality assessment, Atmospheric Environment,285, 119242.
Chen, S.X., Guo, B. and Y.M. Qiu (2023). “Testing and signal identification for two-sample high-dimensional covariances via multi-level thresholding.” Journal of Econometrics, 235(2), 1337-1354.
Zhu,Y.R., Gu, J., Y.M. Qiu and S.X. Chen (2023). Real-World COVID-19 Vaccine Protection Rates against Infection in the Delta and Omicron Eras. Research. 2023:6;0099. DOI:10.34133/research.0099
Zhu, Y.R., Gu, J., Y.M. Qiu and S.X. Chen (2023). Estimating COVID-19 Vaccine Protection Rates via Dynamic Epidemiological Models--A Study of Ten Countries, The Annals of Applied Statistics, to appear.
Zhang, S.Y., Chen, S.X. and YM Qiu (2023). Mean Tests For High-dimensional Time Series, Statistica Sinica, to appear.
Peifeng Tong, Wu Su, He Li, Jialin Ding, Haoxiang Zhan, Song Xi Chen (2023). Distribution Free Domain Generalization, Proceedings of the 40th International Conference on Machine Learning (ICML).
Zhang, Y., Chen, S.X. and Bao, L. (2023). Air pollution estimation under air stagnation—A case study of Beijing. Environmetrics, e2819. https://doi.org/10.1002/env.2819
Chen, S.X., Y.M. Qiu and Shuyi Zhang (2023) Sharp Optimality for High Dimensional Covariance Testing under Sparse Signals, The Annals of Statistics, to appear.
