| Optimal model averaging estimation for generalized linear models and generalized linear mixed-effects models X Zhang, D Yu, G Zou, H Liang Journal of the American Statistical Association 111 (516), 1775-1790, 2016 | 149 | 2016 |
| Conditional Akaike information criterion for generalized linear mixed models D Yu, KKW Yau Computational Statistics & Data Analysis 56 (3), 629-644, 2012 | 44 | 2012 |
| Model averaging estimator in ridge regression and its large sample properties S Zhao, J Liao, D Yu Statistical Papers 61 (4), 1719-1739, 2020 | 14 | 2020 |
| Asymptotic properties and information criteria for misspecified generalized linear mixed models D Yu, X Zhang, KKW Yau Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2018 | 12 | 2018 |
| Information based model selection criteria for generalized linear mixed models with unknown variance component parameters D Yu, X Zhang, KKW Yau Journal of Multivariate Analysis 116, 245-262, 2013 | 12 | 2013 |
| Adjusted quasi-maximum likelihood estimator for mixed regressive, spatial autoregressive model and its small sample bias D Yu, P Bai, C Ding Computational statistics & data analysis 87, 116-135, 2015 | 10 | 2015 |
| Robust estimation and confidence interval in meta-regression models D Yu, C Ding, N He, R Wang, X Zhou, L Shi Computational statistics & data analysis 129, 93-118, 2019 | 8 | 2019 |
| Multilevel cumulative logistic regression model with random effects: Application to British social attitudes panel survey data M Chan, D Yu, KKW Yau Computational statistics & data analysis 88, 173-186, 2015 | 6 | 2015 |
| A note on the existence and uniqueness of quasi-maximum likelihood estimators for mixed regressive, spatial autoregression models M Li, D Yu, P Bai Statistics & Probability Letters 83 (2), 568-572, 2013 | 6 | 2013 |
| Optimal model averaging of mixed-data kernel-weighted spline regressions JS Racine, Q Li, D Yu, L Zheng Journal of Business & Economic Statistics 41 (4), 1251-1261, 2023 | 5 | 2023 |
| Influence diagnostics in meta‐regression model L Shi, SS Zuo, D Yu, X Zhou Research Synthesis Methods 8 (3), 343-354, 2017 | 5 | 2017 |
| Conditional Akaike information criteria for a class of Poisson mixture models with random effects D Yu Scandinavian Journal of Statistics 43 (4), 1214-1235, 2016 | 4 | 2016 |
| Robust REML estimation for k‐component Poisson mixture with random effects: application to the epilepsy seizure count data and urinary tract infections data D Yu, KKW Yau Statistics in Medicine 32 (14), 2479-2499, 2013 | 3 | 2013 |
| Post-averaging inference for optimal model averaging estimator in generalized linear models D Yu, H Lian, Y Sun, X Zhang, Y Hong Econometric Reviews 43 (2-4), 98-122, 2024 | 2 | 2024 |
| Frequentist model averaging for zero‐inflated Poisson regression models J Zhou, ATK Wan, D Yu Statistical Analysis and Data Mining: The ASA Data Science Journal 15 (6 …, 2022 | 2 | 2022 |
| Unified optimal model averaging with a general loss function based on cross-validation D Yu, X Zhang, H Liang Available at SSRN 4026108, 2022 | 2 | 2022 |
| Optimal weighted random forests X Chen, D Yu, X Zhang arXiv preprint arXiv:2305.10042, 2023 | 1 | 2023 |
| Statistical inference on progressive Type-II censored data from Extreme-value distribution C Ding, D Yu 2012 Fifth International Joint Conference on Computational Sciences and …, 2012 | 1 | 2012 |
| Reliability Estimation of -Out-of-: G System With Model Uncertainty Z Gao, D Yu, X Zhang IEEE Transactions on Reliability, 2023 | | 2023 |
| Bayesian semiparametric joint model of multivariate longitudinal and survival data with dependent censoring AM Tang, NS Tang, D Yu Lifetime Data Analysis 29 (4), 888-918, 2023 | | 2023 |
