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Dynamic Causal Effects Evaluation in A/B Testing with a Reinforcement Learning Framework 期刊论文
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 2022, 页码: 13
Authors:  Shi, Chengchun;  Wang, Xiaoyu;  Luo, Shikai;  Zhu, Hongtu;  Ye, Jieping;  Song, Rui
Favorite  |  View/Download：61/0  |  Submit date：2022/04/29
A/B testing  Causal inference  Online experiment  Online updating  Reinforcement learning  Sequential testing  
Parsimonious Model Averaging With a Diverging Number of Parameters 期刊论文
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 2019, 页码: 13
Authors:  Zhang, Xinyu;  Zou, Guohua;  Liang, Hua;  Carroll, Raymond J.
Favorite  |  View/Download：115/0  |  Submit date：2020/01/10
Asymptotic optimality  Frequentist model averaging  Jackknife model averaging  Mallows model averaging  Parsimony  
A Mallows-Type Model Averaging Estimator for the Varying-Coefficient Partially Linear Model 期刊论文
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 2019, 卷号: 114, 期号: 526, 页码: 882-892
Authors:  Zhu, Rong;  Wan, Alan T. K.;  Zhang, Xinyu;  Zou, Guohua
Favorite  |  View/Download：118/0  |  Submit date：2020/01/10
Asymptotic optimality  Heteroscedasticity  Mallows criterion  Model averaging  Varying-coefficient partially linear model  
Parameter Estimation and Variable Selection for Big Systems of Linear Ordinary Differential Equations: A Matrix-Based Approach 期刊论文
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 2019, 卷号: 114, 期号: 526, 页码: 657-667
Authors:  Wu, Leqin;  Qiu, Xing;  Yuan, Ya-xiang;  Wu, Hulin
Favorite  |  View/Download：117/0  |  Submit date：2020/01/10
Complex system  Eigenvalue updating algorithm  High dimension  Matrix-based variable selection  Ordinary differential equation  Separable least squares  
Bayesian Neural Networks for Selection of Drug Sensitive Genes 期刊论文
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 2018, 卷号: 113, 期号: 523, 页码: 955-972
Authors:  Liang, Faming;  Li, Qizhai;  Zhou, Lei
Favorite  |  View/Download：123/0  |  Submit date：2018/11/16
Cancer cell line encyclopedia  Nonlinear variable selection  Omics data  OpenMP  Parallel Markov chain Monte Carlo  
Optimal Subsampling for Large Sample Logistic Regression 期刊论文
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 2018, 卷号: 113, 期号: 522, 页码: 829-844
Authors:  Wang, HaiYing;  Zhu, Rong;  Ma, Ping
Favorite  |  View/Download：118/0  |  Submit date：2018/09/08
A-optimality  Logistic regression  Massive data  Optimal subsampling  Rare event  
Rotated Sphere Packing Designs 期刊论文
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 2017, 卷号: 112, 期号: 520, 页码: 1612-1622
Authors:  He, Xu
Favorite  |  View/Download：73/0  |  Submit date：2018/07/30
Experimental design  Lattice  Low discrepancy  Maximin distance design  Minimax distance design  
The Design and Analysis for the Icing Wind Tunnel Experiment of a New Deicing Coating 期刊论文
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 2017, 卷号: 112, 期号: 520, 页码: 1417-1429
Authors:  Li, Xiaodong;  He, Xu;  He, Yuanzhen;  Zhang, Hui;  Zhang, Zhong;  Lin, Dennis K. J.
Favorite  |  View/Download：85/0  |  Submit date：2018/07/30
Cross array  D-optimal design  Incomplete block design  Minimum number of level changes  Random block effect  
Linear Model Selection When Covariates Contain Errors 期刊论文
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 2017, 卷号: 112, 期号: 520, 页码: 1553-1561
Authors:  Zhang, Xinyu;  Wang, Haiying;  Ma, Yanyuan;  Carroll, Raymond J.
Favorite  |  View/Download：69/0  |  Submit date：2018/07/30
Errors in covariates  Loss efficiency  Measurement error  Model selection  Selection consistency  
Optimal Model Averaging Estimation for Generalized Linear Models and Generalized Linear Mixed-Effects Models 期刊论文
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 2016, 卷号: 111, 期号: 516, 页码: 1775-1790
Authors:  Zhang, Xinyu;  Yu, Dalei;  Zou, Guohua;  Liang, Hua
Favorite  |  View/Download：83/0  |  Submit date：2018/07/30
Asymptotic optimality  Kullback-Leibler loss  Misspecification  Penalized generalized weighted least squares (PGWLS)  Prediction accuracy