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Encoder-Decoder Full Residual Deep Networks for Robust Regression and Spatiotemporal Estimation
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 卷号: 32, 期号: 9, 页码: 4217-4230
作者:
Li, Lianfa
;
Fang, Ying
;
Wu, Jun
;
Wang, Jinfeng
;
Ge, Yong
收藏
  |  
浏览/下载:80/0
  |  
提交时间:2021/11/05
Bias
deep learning
encoder-decoder
full residual deep network
non-linear regression
prediction of satellite aerosol optical depth (AOD) and PM2.5
spatiotemporal modeling
A beyond multiple robust approach for missing response problem
期刊论文
COMPUTATIONAL STATISTICS & DATA ANALYSIS, 2021, 卷号: 155, 页码: 13
作者:
Wang, Qihua
;
Su, Miaomiao
;
Wang, Ruoyu
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  |  
浏览/下载:92/0
  |  
提交时间:2021/04/26
Model misspecification
Curse of dimension
Inverse probability weight
Imputation
Spatiotemporal estimation of satellite-borne and ground-level NO2 using full residual deep networks
期刊论文
REMOTE SENSING OF ENVIRONMENT, 2021, 卷号: 254, 页码: 22
作者:
Li, Lianfa
;
Wu, Jiajie
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  |  
浏览/下载:27/0
  |  
提交时间:2021/03/15
OMI-NO2 columns
Imputation of missing values
Full residual deep network
Bagging
Ground-level NO2 estimation
Traffic and land-use variables
Uncertainty
A Robust Deep Learning Approach for Spatiotemporal Estimation of Satellite AOD and PM2.5
期刊论文
REMOTE SENSING, 2020, 卷号: 12, 期号: 2, 页码: 27
作者:
Li, Lianfa
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  |  
浏览/下载:16/0
  |  
提交时间:2020/05/19
PM2.5
satellite AOD
deep learning
autoencoder
residual network
exposure estimation
high spatiotemporal resolution
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
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浏览/下载:63/0
  |  
提交时间:2020/01/10
Kernel imputation
missing at random
missing predictors
sliced inverse regression
sufficient dimension reduction
SMOOTHED RANK REGRESSION FOR THE ACCELERATED FAILURE TIME COMPETING RISKS MODEL WITH MISSING CAUSE OF FAILURE
期刊论文
STATISTICA SINICA, 2019, 卷号: 29, 期号: 1, 页码: 23-46
作者:
Qiu, Zhiping
;
Wan, Alan T. K.
;
Zhou, Yong
;
Gilbert, Peter B.
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  |  
浏览/下载:20/0
  |  
提交时间:2019/08/22
Accelerated failure time model
competing risks
imputation
inverse probability weighting
missing at random
monotone estimating equation
rank-based estimator
U-statistic
Learning k for kNN Classification
期刊论文
acm transactions on intelligent systems and technology, 2017, 卷号: 8, 期号: 3
作者:
Zhang, Shichao
;
Li, Xuelong
;
Zong, Ming
;
Zhu, Xiaofeng
;
Cheng, Debo
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  |  
浏览/下载:33/0
  |  
提交时间:2017/05/19
kNN method
sparse learning
missing data imputation
Mean response estimation with missing response in the presence of high-dimensional covariates
期刊论文
COMMUNICATIONS IN STATISTICS-THEORY AND METHODS, 2017, 卷号: 46, 期号: 2, 页码: 628-643
作者:
Li, Yongjin
;
Wang, Qihua
;
Zhu, Liping
;
Ding, Xiaobo
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  |  
浏览/下载:29/0
  |  
提交时间:2018/07/30
Central mean subspace
Imputation
Kernel regression
Missing response
Weighted-bandwidth
A global learning with local preservation method for microarray data imputation
期刊论文
Computers in Biology and Medicine, 2016, 卷号: 77, 页码: 76-89
作者:
Chen, Ye
;
Wang, Aiguo
;
Ding, Huitong
;
Que, Xia
;
Li, Yabo
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  |  
浏览/下载:4/0
  |  
提交时间:2017/01/13
Missing value imputation
Microarray data
Global learning
Local preservation
Regression model
Application and Comparison of Imputation Methods for Missing Degradation Data
会议论文
8th World Congress on Engineering Asset Management (WCEAM), Int Soc Engn Asset Management, Hong Kong, PEOPLES R CHINA, 2015-01-01
作者:
Fan, Ye
;
Sun, Fuqiang
;
Jiang, Tongmin
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  |  
浏览/下载:3/0
  |  
提交时间:2020/01/06
Degradation data
Missing data
Imputation method
Mean imputation
Regression imputation
Expectation maximization
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