张伟平
近期热点
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个人简历
张伟平,博士,管理学院统计与金融系教授。研究领域
纵向数据分析、贝叶斯统计、统计学习理论、风险度量中的统计方法等。"主持项目:1. 混合多响应纵向数据的均值相关结构同时统计推断方法研究近期论文
[1]. Reduced rank modeling for functional regression with functional responses, Journal of Multivariate Analysis, 2019, 169: 205-217 [2]. Discrete longitudinal data modeling with a mean-correlation regression approach, Statistica Sinica, 2019, 29: 853-867[3]. THORS: An Efficient Approach for Making Classifiers Cost-Sensitive, IEEE ACCESS, 2019, 7(1): 9770-97718[4]. A New Algorithm for Learning Large Bayesian Network Structure from Discrete Data, IEEE ACCESS, 2019, 7(1): 121665 -121674[5]. Bayesian Joint Semiparametric Mean–Covariance Modeling for Longitudinal Data, Communications in Mathematics and Statistics, 2019, 7(3): 253 -267[6]. Bayesian Nonlinear Quantile Regression Approach for Longitudinal Ordinal Data, Communications in Mathematics and Statistics, 2019, 7(2): 123-140[7]. Second-Order Asymptotics of the Risk Concentration of a Portfolio with Deflated Risks, Mathematical Problems in Engineering, 2018, 2018: 1-12[8]. A joint modeling approach for longitudinal studies, Journal of the Royal Statistical Society Series B-Statistical Methodology, 2015, 77(1): 219-238[9]. A Moving Average Cholesky Factor Model in Covariance Modeling for Longitudinal Data, Biometrika, 2012, 99(1): 141-150[10]. Semiparametric Mean-Covariance Regression Analysis for Longitudinal Data, Journal of the American Statistical Association, 2010, 105(489): 181-193[11]. Smoothing combined estimating equations in quantile regression for longitudinal data, Statistics and Computing, 2014, 24: 123-136[12]. Parsimonious Mean-Covariance modeling for Longitudinal Data with ARMA Errors, Journal of Systems Science and Complexity--English Series, 2019, 32: 1675-1692[13]. A moving average Cholesky factor model in joint mean-covariance modeling for longitudinal data, SCIENCE CHINA Mathematics, 2013, 56(11): 2367-2379[14]. The Superiorities of Bayes Linear Unbiased Estimation in Partitioned Linear model, Journal of Systems Science and Complexity--English Series, 2011, 24(24): 945-954[15]. 纵向数据中基于偏自相关的均值协方差同时建模, 应用概率统计, 2015, 31(6): 582-595[16]. Precise large deviations for generalized dependent compound renewal risk model with consistent variation, Frontiers of Mathematics in China, 2014, (9): 31-44[17]. The Superiorities of Bayes Linear unbiased Estimator in Multivariate Linear Models, Acta Mathematicae Applicatae Sinica, 2012, 28(2): 383-394[18]. Asymptotic ruin probabilities for proportional investment under interest force with dominatedly-varying-tailed claims, Journal of the Korean Statistical Society, 2012, 41(1): 87-95[19]. A generalized method for the multiple artifacts problem in interlaboratory comparisons with linear trends, Metrologia, 2009, 46(3): 345-350[20]. The superiority of empirical Bayes estimation of parameters in partitioned normal linear model, 数学物理学报(英文版), 2008, 28(4): 955-962 相关热点
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