受教育情况及工作简历

受教育经历:

 

2001/9-2005/7,学士,云南大学统计系

2005/9-2008/7,硕士,云南大学统计系

2008/9-2011/8,博士,香港城市大学管理科学系

 

工作简历:

 

2012/4-2013/7,讲师,云南财经大学

2013/8-2018/9,副教授,云南财经大学

2012/12-2013/12,高级研究助理,香港城市大学

2018/10-2023/2,教授,云南财经大学

2023/2-至今,教授,西安交通大学

联系方式

电子邮箱:

yudalei AT xjtu DOT edu DOT cn

或者

yudalei AT 126 DOT com

 

联系地址:陕西省西安市碑林区咸宁西路28号西安交通大学数学楼223办公室

站点计数器

个人简介

喻达磊,博士(香港城市大学),西安交通大学数学与统计学院教授,博士生导师,入选了国家高层次青年人才计划和校内青拔A类支持计划。研究兴趣为: 模型选择、模型平均、混合效应模型、估计理论和统计极限理论。

 

代表性论文 (#:同等贡献作者,*:通讯作者):

 

  • Yu, D. , Lian, H., Sun, Y.*, Zhang, X. and Hong, Y. (2024) Post-averaging inference for optimal model averaging estimator in generalized linear models. Econometric Reviews, 43, 98-122.
  • Gao, Z.# Yu, D.# and Zhang, X.* (2024+) Reliability estimation of k-out-of-n: G system with model uncertainty. Accepted for publication in IEEE Transactions on Reliability, doi: 10.1109/TR.2023.3328842. Supplementary Materials and Code.
  • Racine, J.#, Li, Q. #, Yu, D. # and Zheng, L. #* (2023) Optimal model averaging of mixed-data kernel-weighted spline regressions. Journal of Business & Economic Statistics, 41, 1251-1261.
  • 赵尚威, 喻达磊*, 张新雨 (2022)一般协方差矩阵下的修正Akaike信息准则. 中国科学:数学, 52, 555-582.
  • Yu, D., Ding, C., He, N., Wang, R. Zhou, X. and Shi, L. * (2019) Robust estimation and confidence interval in meta-regression models. Computational Statistics & Data Analysis 129, 93–118.
  • Yu, D., Zhang, X. *, and Yau, K.K.W. (2018) Asymptotic properties and information criteria for misspecified generalized linear mixed models. Journal of the Royal Statistical Society: Series B (Statistical Methodology) 80, 817-836. (Initial title: “Information criterion for misspecified random effects model”). MATLAB code and data.
  • Yu, D. * (2016) Conditional Akaike information criteria for a class of Poisson mixture models with random effects. Scandinavian Journal of Statistics 43 1214 –1235.
  • Zhang, X., Yu, D., Zou, G. and Liang, H. * (2016). Optimal model averaging estimation for generalized linear models and generalized linear mixed-effects models. Journal of the American Statistical Association 111 1775–1790.
  • Yu, D. *, Bai P. and Ding, C. (2015). Adjusted quasi-maximum likelihood estimator for mixed regressive, spatial autoregressive model and its small sample bias. Computational Statistics & Data Analysis 87 116–135.  (Initial title: “Restricted quasi-maximum likelihood estimator for mixed regressive, spatial autoregressive model”).
  • Yu, D. and Yau, K.K.W. * (2013). Robust REML estimation for k-component Poisson mixture with random effects: application to the epilepsy seizure count data and urinary tract infections data. Statistics in Medicine 32 2479-2499.