CSpace
(本次检索基于用户作品认领结果)

浏览/检索结果: 共6条,第1-6条 帮助

限定条件                        
已选(0)清除 条数/页:   排序方式:
Frequentist model averaging for threshold models 期刊论文
ANNALS OF THE INSTITUTE OF STATISTICAL MATHEMATICS, 2019, 卷号: 71, 期号: 2, 页码: 275-306
作者:  Gao, Yan;  Zhang, Xinyu;  Wang, Shouyang;  Chong, Terence Tai-leung;  Zou, Guohua
收藏  |  浏览/下载:195/0  |  提交时间:2019/04/02
Asymptotic optimality  Generalized cross-validation  Model averaging  Threshold model  
Model averaging based on leave-subject-out cross-validation for vector autoregressions 期刊论文
JOURNAL OF ECONOMETRICS, 2019, 卷号: 209, 期号: 1, 页码: 35-60
作者:  Liao, Jun;  Zong, Xianpeng;  Zhang, Xinyu;  Zou, Guohua
收藏  |  浏览/下载:201/0  |  提交时间:2020/01/10
Asymptotic optimality  Consistency  Leave-subject-out cross-validation  Model averaging  Vector autoregressions  
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
作者:  Zhang, Xinyu;  Wang, Haiying;  Ma, Yanyuan;  Carroll, Raymond J.
收藏  |  浏览/下载:124/0  |  提交时间:2018/07/30
Errors in covariates  Loss efficiency  Measurement error  Model selection  Selection consistency  
Weighted-Average Least Squares Prediction 期刊论文
ECONOMETRIC REVIEWS, 2016, 卷号: 35, 期号: 6, 页码: 1040-1074
作者:  Magnus, Jan R.;  Wang, Wendun;  Zhang, Xinyu
收藏  |  浏览/下载:106/0  |  提交时间:2018/07/30
Bayesian analysis  Model averaging  Model uncertainty  Prediction  C11  C52  C53  
Model averaging based on leave-subject-out cross-validation 期刊论文
JOURNAL OF ECONOMETRICS, 2016, 卷号: 192, 期号: 1, 页码: 139-151
作者:  Gao, Yan;  Zhang, Xinyu;  Wang, Shouyang;  Zou, Guohua
收藏  |  浏览/下载:117/0  |  提交时间:2018/07/30
Asymptotic optimality  Leave-subject-out cross-validation  Longitudinal data  Model averaging  Time series  
MODEL AVERAGING BASED ON KULLBACK-LEIBLER DISTANCE 期刊论文
STATISTICA SINICA, 2015, 卷号: 25, 期号: 4, 页码: 1583-1598
作者:  Zhang, Xinyu;  Zou, Guohua;  Carroll, Raymond J.
收藏  |  浏览/下载:103/0  |  提交时间:2018/07/30
Akaike information  Kullback-Leibler distance  model averaging  model selection  prediction