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Surrogate space based dimension reduction for nonignorable nonresponse 期刊论文
COMPUTATIONAL STATISTICS & DATA ANALYSIS, 2022, 卷号: 168, 页码: 18
作者:  Deng, Jianqiu;  Yang, Xiaojie;  Wang, Qihua
收藏  |  浏览/下载：153/0  |  提交时间：2022/04/02
Sufficient dimension reduction  Nonignorable nonresponse  Cumulative mean estimation  Exponential tilting model  Regression calibration  Surrogate subspace  
MIMIC: an optimization method to identify cell type-specific marker panel for cell sorting 期刊论文
BRIEFINGS IN BIOINFORMATICS, 2021, 卷号: 22, 期号: 6, 页码: 14
作者:  Zou, Meng;  Duren, Zhana;  Yuan, Qiuyue;  Li, Henry;  Hutchins, Andrew Paul;  Wong, Wing Hung;  Wang, Yong
收藏  |  浏览/下载：145/0  |  提交时间：2022/04/02
cell type-specific marker  TFs  surface markers  dimension reduction  hierarchical topology  
A Gaussian Process Emulator Based Approach for Bayesian Calibration of a Functional Input 期刊论文
TECHNOMETRICS, 2021, 页码: 13
作者:  Li, Zhaohui;  Tan, Matthias Hwai Yong
收藏  |  浏览/下载：102/0  |  提交时间：2022/04/02
Bayesian calibration  Dimension reduction  Functional input  Sequential design  
SUFFICIENT DIMENSION REDUCTION UNDER DIMENSION-REDUCTION-BASED IMPUTATION WITH PREDICTORS MISSING AT RANDOM 期刊论文
STATISTICA SINICA, 2019, 卷号: 29, 期号: 4, 页码: 1751-1778
作者:  Yang, Xiaojie;  Wang, Qihua
收藏  |  浏览/下载：261/0  |  提交时间：2020/01/10
Kernel imputation  missing at random  missing predictors  sliced inverse regression  sufficient dimension reduction  
Applying Ricci flow to high dimensional manifold learning 期刊论文
SCIENCE CHINA-INFORMATION SCIENCES, 2019, 卷号: 62, 期号: 9, 页码: 14
作者:  Li, Yangyang;  Lu, Ruqian
收藏  |  浏览/下载：157/0  |  提交时间：2020/01/10
manifold learning  Ricci flow  Ricci curvature  dimension reduction  curvature estimation  
Robust functional sliced inverse regression 期刊论文
STATISTICAL PAPERS, 2017, 卷号: 58, 期号: 1, 页码: 227-245
作者:  Wang, Guochang;  Zhou, Jianjun;  Wu, Wuqing;  Chen, Min
收藏  |  浏览/下载：147/0  |  提交时间：2018/07/30
Dimension reduction  Functional regression  Functional sliced inverse regression  Robustness  
Dimension reduction estimation for probability density with data missing at random when covariables are present 期刊论文
JOURNAL OF STATISTICAL PLANNING AND INFERENCE, 2017, 卷号: 181, 页码: 11-29
作者:  Deng, Jianqiu;  Wang, Qihua
收藏  |  浏览/下载：149/0  |  提交时间：2018/07/30
Kernel density estimation  Kernel regression  Dimension reduction  Missing at random  Asymptotic normality  
Simultaneous dimension reduction and adjustment for confounding variation 期刊论文
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2016, 卷号: 113, 期号: 51, 页码: 14662-14667
作者:  Lin, Zhixiang;  Yang, Can;  Zhu, Ying;  Duchi, John;  Fu, Yao;  Wang, Yong;  Jiang, Bai;  Zamanighomi, Mahdi;  Xu, Xuming;  Li, Mingfeng;  Sestan, Nenad;  Zhao, Hongyu;  Wong, Wing Hung
收藏  |  浏览/下载：129/0  |  提交时间：2018/07/30
dimension reduction  confounding variation  transcriptome  
Functional Partial Linear Single-index Model 期刊论文
SCANDINAVIAN JOURNAL OF STATISTICS, 2016, 卷号: 43, 期号: 1, 页码: 261-274
作者:  Wang, Guochang;  Feng, Xiang-Nan;  Chen, Min
收藏  |  浏览/下载：145/0  |  提交时间：2018/07/30
functional data analysis  functional dimension reduction  functional semi-parametric model  single-index model  
Dimension reduction based linear surrogate variable approach for model free variable selection 期刊论文
JOURNAL OF STATISTICAL PLANNING AND INFERENCE, 2016, 卷号: 169, 页码: 13-26
作者:  Dai, Pengjie;  Ding, Xiaobo;  Wang, Qihua
收藏  |  浏览/下载：167/0  |  提交时间：2018/07/30
Adaptive LASSO  Central subspace  Linear surrogate variable  Sufficient dimension reduction  Variable selection