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 （#：同等贡献作者或共同一作或字典序，*：通讯作者）：

• Chen, X. ^#, Yu, D. ^*# and Zhang, X.^# (2024) Optimal weighted random forests. Journal of Machine Learning Research 25 (320), 1-81. 
• Yu, D. ^#, Tang, N.^# and Shi, Y.^* (2024+) Adaptively aggregated forecast for exponential family panel model. Accepted for publication in International Journal of Forecasting, doi: doi.org/10.1016/j.ijforecast.2024.06.005. Supplementary Materials and Code.
• 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.  IEEE Transactions on Reliability, 73, 978 - 989. 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.