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Yu, W., Xu, W. L. and Zhu, L. X. (2019) A combined p-value test for the mean difference of high-dimensional data. Science China Mathematics, 62, 961-978.
He, S. M., Ma, S. G. and Xu, W. L.* (2019) A modified mean-variance feature-screening procedure for ultrahigh-dimensional discriminant analysis. Computational Statistics and Data Analysis, 137, 155-169.
Yu, W., Xu, W. L. and Zhu, L. X. (2019) Multiple permutation test for high-dimensional data: a components-combined algorithm. Journal of Statistical Computation and Simulation, 89，686-707.
Zhang, S., Zhao, P. X., Li, G. R. and Xu, W. L. (2019) Nonparametric independence screening for ultra-high dimensional generalized varying coefficient models with longitudinal data, Journal of Multivariate Analysis, 171, 37-52.
Cui, J. R., Li, C. X., Yang, K. and Xu, W. L.*(2018) Adaptive positive and negative runs test. Journal of Statistical Computation and Simulation, 88, 1314-1335.
Guo, X. , Fang, Y., Zhu, X. H, Xu, W. L. and Zhu, L. X. (2018) Semiparametric double robust and efficient estimation for mean functionals with response missing at random. Computational Statistics and Data Analysis, 128, 325–339.
Yang, K., Zhu, L. P. and Xu, W. L.* (2018) Adaptive composite quantile regressions and their asymptotic relative efficiency. Journal of Statistical Computation and Simulation, 88, 900-919.
Zhang, J，Zhou, L, Cui, X. and Xu, W. L.(2018) Semiparametric quantile estimation for varying coefficient partially linear measurement errors models, Brazilian Journal of Probability and Statistics, 32, 616-656.
Ma, C. J. , Xu, W. L., Zhou, L., Ma, S. G. and Wang, Y. (2018) Association between lifestyle factors and suboptimal health status among Chinese college rreshmen: a cross-sectional study. BMC Public Health, 18: 105.
Yu, W., Xu, W. L. and Zhu, L. X. (2017) A modified Hosmer-Lemeshow test for large data sets, Communications in Statistics-Theory and Methods, 46，11813-11825.
Qiao, Y. X., Yu, W. and Xu, W. L.* (2017) Two new estimators for the proportion of true null hypothesis in multiple test, Journal of Statistical Computation and Simulation, 87，712-723.
Guo, X., Li, Q. Y. and Xu, W. L. (2017) Acceleration of the EM algorithm using the Vector Aitken method and its Steffensen form. Acta Mathematicae Applicatae Sinica, English Series, 33，175-182.
Yu, W., Xu, W. L.* and Zhu, L.(2016) Confidence interval estimation for negative binomial group distribution, Journal of Statistical Computation and Simulation, 86, 524-534.
Xu, W. L.*, Yu, W. and Li, Z. X. (2016) Confidence Interval Estimation by a Joint Pivotal Method, Computational Statistics, 31, 497-511.
Niu, C. Z., Guo, X., Xu, W. L.* and Zhu, L. X. (2016) Checking nonparametric component for partial linear regression model with missing response, Journal of Statistical Planning and Inference, 168, 1-19.
Qiao, X. Q., Yu, W., Zhang, J. S., Tan W., Su, J. C., Xu, W. L. and Chen, J. L. (2015) Recommending nearby strangers instantly based on similar check-in behaviors, IEEE Transactions on Automation Science and Engineering, 12, 1114-1124.
Xu, W. L.* and Zhu, L. X. (2015) Nonparametric check for partial linear errors-in-covariables models with validation data. Annals of the Institute of Statistical Mathematics, 67, 793-815.
Xia, Q., Xu, W. L. and Zhu, L. X. (2015) Consistently determining the number of factors in multivariate volatility modeling, Statistica Sinica, 25, 1025-1044.
Dong, Z. C., Yu, W. and Xu, W. L.* (2015) A modified combined p-value multiple test, Journal of Statistical Computation and Simulation, 85, 2479-2490
Guo, X., Niu, C. Z., Yang, Y. P. and Xu, W. L. (2015) Empirical likelihood for single index model with missing covariates at random. Statistics, 49, 588-601.
Guo, X., Xu, W. L. and Zhu, L. X. (2015) Model checking for parametric regression with response missing at random. Annals of the Institute of Statistical Mathematics, 67, 229-259.
Zhou, J. K., Xu, W. L. and Zhu, L. X. (2015) Robust estimating equation-based sufficient dimension reduction, Journal of Multivariate Analysis, 134, 99-118.
Yu, W., Xu, W. L.* and Zhu, L. X. (2014) Transformation-based model averaged tail area inference. Computational Statistics,
1713-1726. 29. Niu, C. Z., Guo, X., Xu, W. L*. and Zhu, L. X. (2014) Comparison of several Birnbaum-Saunders distributions. Journal of Statistical Computation and Simulation, 84, 2721-2733.
Niu, C. Z., Guo, X., Xu, W. L. and Zhu, L. X. (2014) Testing equality of shape parameters in several inverse Gaussian populations. Metrika, 77, 795-809.
Niu, C. Z., Guo, X., Xu, W. L.* and Zhu, L. X. (2014) Empirical likelihood inference in linear regression with nonignorable missing response. Computational Statistics and Data Analysis, 79, 91-112.
Yu, W., Niu, C. Z. and Xu, W. L*. (2014) An empirical likelihood inference for the coefficient difference of a two-sample linear models with missing response. Metrika, 77, 675-693.
Qiao, X. Q., Su, J. C., Zhang, J. S., Xu, W. L. et al. (2014) Recommending friends instantly in location-based mobile social networks. China Communications, 11, 109-127.
Yu, W., Guo, X. and Xu, W. L*. (2014) An improved score interval with a modified midpoint for a binomial proportion, Journal of Statistical Computation and Simulation, 84, 1022–1038.
Zhou, H. B., Xu, W. L., Zeng, D. L. and Cai, J. W. (2014) Semiparametric inference for data with a continuous outcome from a two-phase probability-dependent sampling scheme. Journal of the Royal Statistical Society B. 76,197-215.
Guo, X., Xu, W. L. and Zhu, L. X. (2014) Multi-index regression models with missing covariates at random. Journal of Multivariate Analysis, 123, 345-363.
Guo, X., Wang, T., Xu, W. L. and Zhu, L. X. (2014) Dimension reduction with missing response at random. Computational Statistics and Data Analysis, 69， 228-242.
Xu, W. L. and Guo, X. (2013) Checking the adequacy of partial linear models with missing covariates at random, Annals of the Institute of Statistical Mathematics, 65, 473-490.
Xu, W. L. and Guo, X. (2013) Nonparametric checks for varying coefficient models with missing response at random. Metrika, 76, 459-482.
Li, Z. X., Cui, Y. and Xu, W. L. (2013). Some properties for the estimators in linear mixed models, Acta Mathematicae Applicatae Sinica-English Series, 29,105-116.
Xu, W. L. *, Li, Y. W. and Song, D. (2013).Testing normality in mixed models using a transformation method. Statistical Papers, 54, 71-84.
Xu, W. L. and Zhu, L. X. (2013) Testing the adequacy of varying coefficient models with missing responses at random. Metrika, 76, 53-69.
Guo. X. and Xu, W. L. * (2012) Goodness-of-fit tests for general linear models with covariates missed at random. Journal of Statistical Planning and Inference, 142， 2047–2058.
Xu, W. L. and Zhou, H. (2012) Mixed effect regression analysis for a cluster-based two-stage outcome-auxiliary-dependent sampling design with a continuous outcome. Biostatistics, 13, 650-664.
Li, Z. X., Wang, Y. D., Wu, P., Xu, W. L. and Zhu L. X. (2012). Tests for variance components in varying coefficient mixed models, Statistica Sinica, 22,123-148.
Xu, W. L, * Guo, X. and Zhu, L. X. (2012) Goodness-of-fitting for partial linear model with missing response at random. Journal of Nonparametric Statistics, 24,103-118.
Shi, L., Wang, R. W., Zhu, L. X., Zeng, W. M., Xu, W. L. and Zheng, Q. (2011). Varying coefficient analysis for indeterminate species interactions with non-parametric estimation, exemplifying with a fig-fig wasp system, Chinese Science Bulletin, 56, 2545–2552.
Liu, M. , Qiao, X. Q. and Xu, W.L. (2011) Three categories customer churn prediction based on the adjusted real adaboost, Communications in Statistics - Simulation and Computation, 40, 1548-1562.
Li, Z. X., Zhu, L.X., Wu,P., Wu, J.H. and Xu, W.L. (2010) Testing for random effects in linear mixed models for longitudinal data under moment conditions. Acta Mathematica Sinica-English Series, 26, 497-514.
Xu, W. L. * and Lu, Y. Q. (2009) Goodness-of-fit for longitudinal count data with overdispersion. Communications in Statistics-Theory and Methods, 38, 3745-3754.
Li, Z. X., Xu, W. L. and Zhu, L. X.(2009) Influence diagnostics and outlier tests for varying coefficient mixed models. Journal of Multivariate Analysis, 100, 2002-2017.
Xu, W. L. * and Zhu, L. X. (2009) A goodness-of-fit test for a varying-coefficients model in longitudinal studies. Journal of Nonparametric Statistics, 21: 427-440.
Xu, W. L. and Zhu, L. X. (2009) Kernel-based generalized cross validation in nonparametric mixed-effects models. Scandinavian Journal of Statistics, 36: 229-247.
Xu, W. L. and Zhu, L. X. (2008). Goodness-of-fit testing for varying-coefficient models. Metrika, 68: 129-146.
Stute, W, Xu, W. L and Zhu, L. X. (2008) Model diagnosis for parametric regression in high-dimensional spaces. Biometrika, 95: 451-467.
Zhu, L. X., Qin, Y. S. and Xu, W. L. (2007). The empirical likelihood goodness-of-fit test for regression model . Science in China Series A-Mathematics , 50: 829-840.
Yang, H., Xu, W. L., ect. (2005). Information flow and controlling in regularization inversion of quantitative remote sensing, Science in China-Series D, 48: 74-83.
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