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A Simulation-Extrapolation Approach to the Analysis of Interval-Censored Failure Time Data with Mis-Measured Covariates
《Journal of Systems Science & Complexity》2024年第6期2721-2737,共17页FENG Fan ZHAO Shishun LI Shuwei SUN Jianguo 
supported by the National Statistical Science Research Project under Grant No.2022LY041;the Nature Science Foundation of Guangdong Province of China under Grant No.2021A1515010044;the National Nature Science Foundation of China under Grant No.12071176。
Interval-censored failure time data arise frequently in periodical follow-up studies including clinical trials and epidemiological surveys.In addition,some covariates may be subject to measurement errors due to the in...
关键词：Interval censoring measurement error regression analysis semiparametric model SIMEX 
Variable Selection for Generalized Linear Model with Highly Correlated Covariates
《Acta Mathematica Sinica,English Series》2024年第6期1458-1480,共23页Li Li YUE Wei Tao WANG Gao Rong LI 
Supported by the National Natural Science Foundation of China(Grant Nos.12001277,12271046 and 12131006)。
The penalized variable selection methods are often used to select the relevant covariates and estimate the unknown regression coefficients simultaneously,but these existing methods may fail to be consistent for the se...
关键词：Generalized linear model highly correlated covariates Lasso penalty semi-standard partial covariance variable selection 
Covariate-Assisted Matrix Completion with Multiple Structural Breaks
《Journal of Systems Science & Complexity》2024年第2期692-728,共37页MENG Jing FENG Long ZOU Changliang WANG Zhaojun 
supported by the National Natural Science Foundation of China under Grant Nos.12226007,12271271,11925106,12231011,11931001 and 11971247;the Fundamental Research Funds for the Central Universities under Grant No.ZB22000105;the China National Key R&D Program under Grant Nos.2022YFA1003703,2022YFA1003800,and 2019YFC1908502.
In matrix completion,additional covariates often provide valuable information for completing the unobserved entries of a high-dimensional low-rank matrix A.In this paper,the authors consider the matrix recovery proble...
关键词：Additional covariates matrix completion multiple structural breaks wild Binary Segmentation 
Time-sensitive prediction of NO_(2) concentration in China using an ensemble machine learning model from multi-source data被引量：2
《Journal of Environmental Sciences》2024年第3期30-40,共11页Chenliang Tao Man Jia Guoqiang Wang Yuqiang Zhang Qingzhu Zhang Xianfeng Wang Qiao Wang Wenxing Wang 
supported by the Taishan Scholars (No.ts201712003)。
Nitrogen dioxide(NO_(2))poses a critical potential risk to environmental quality and public health.A reliable machine learning(ML)forecasting framework will be useful to provide valuable information to support governm...
关键词：Air quality prediction Deep learning Ensemble method Nitrogen dioxide Spatiotemporal covariates 
Log-rank and stratified log-rank tests
《Statistical Theory and Related Fields》2023年第4期309-317,共9页Ting Ye Jun Shao Yanyao Yi 
In randomized clinical trials with right-censored time-to-event outcomes,the popular log-rank test without adjusting for baseline covariates is asymptotically valid for treatment effect under simple randomization of t...
关键词：Baseline covariates covariate-adaptive randomization null hypothesis of no treatment effect Pitman’s relative effciency TIME-TO-EVENT validity of tests 
3-D Gait Identification Utilizing Latent Canonical Covariates Consisting of Gait Features被引量：1
《Computers, Materials & Continua》2023年第9期2727-2744,共18页Ramiz Gorkem Birdal Ahmet Sertbas 
supported by Istanbul University Scientific Research Project Department with IRP-51706 Project Number.
Biometric gait recognition is a lesser-known but emerging and effective biometric recognition method which enables subjects’walking patterns to be recognized.Existing research in this area has primarily focused on fe...
关键词：Gait identification canonical covariates multivariate data analysis gait determinant 
A case-based reasoning method of recognizing liquefaction pits induced by 2021 M_(W) 7.3 Madoi earthquake
《Earthquake Research Advances》2023年第1期61-69,共9页Peng Liang Yueren Xu Wenqiao Li Yanbo Zhang Qinjian Tian 
Basic Research program from the Institute of Earthquake Forecasting, China Earthquake Administration(Grant No. 2021IEF0505, CEAIEF20220102, and CEAIEF2022050502);high-resolution seismic monitoring and emergency application demonstration (phase Ⅱ)(Grant No. 31-Y30F09-9001-20/22);the National Natural Science Foundation of China (Grant No. 42072248 and 42041006);the National Key Research and Development Program of China (Grant No. 2021YFC3000601-3 and 2019YFE0108900).
Earthquake-triggered liquefaction deformation could lead to severe infrastructure damage and associated casualties and property damage.At present,there are few studies on the rapid extraction of liquefaction pits base...
关键词：Coseismic liquefaction Case-based reasoning K-nearest neighbor Covariates selection 2021 M_(w)7.3 Madoi earthquake Qinghai-Tibetan Plateau 
Mapping soil organic matter content using Sentinel-2 syntheticimages at different time intervals in Northeast China
《International Journal of Digital Earth》2023年第1期1094-1107,共14页Chong Luo Wenqi Zhang Xinle Zhang Huanjun Liu 
supported by the Strategic Priority Research Program of the Chinese Academy of Sciences(XDA28100000);the K.C.Wong Education Foundation,Jilin Provincial Development and Reform Commission Innovation Capacity Building Project(grant number 2021C044-10);the Special fund project for high-tech indus-trialization of science and technology cooperation between Jilin Province and the Chinese Academy of Sciences(2021SYHZ0013).
Mapping soil organic matter(SOM)content has become an important application of digital soil mapping.In this study,we processed all Sentinel-2 images covering the bare-soil period(March to June)in Northeast China from ...
关键词：Sentinel-2 environmental covariates baresoilperiod synthetic images different time intervals soilorganic matter 
Mapping soil nutrients via different covariates combinations:theory and an example from Morocco
《Ecological Processes》2022年第1期302-318,共17页Kingsley John Yassine Bouslihim Isong Abraham Isong Lahcen Hssaini Rachid Razouk Ndiye M.Kebonye Prince C.Agyeman Vit Penížek Tereza Zádorová 
This study was supported by an internal Ph.D.grant no.SV20-5-21130 of the Faculty of Agrobiology,Food and Natural Resources of the Czech University of Life Sciences Prague(CZU);And also,NutRisk grant:European Regional Development Fund,project Center for the investigation of synthesis and transformation of nutritional substances in the food chain in interaction with potentially harmful substances of anthropogenic origin:comprehensive assessment of soil contamination risks for the quality of agricultural products,number CZ.02.1.01/0.0/0.0/16_019/0000845.
Background:Mapping of soil nutrients using different covariates was carried out in northern Morocco.This study was undertaken in response to the region’s urgent requirement for an updated soil map.It aimed to test va...
关键词：Soil mapping Environmental variables AGRICULTURE Soil properties Soil management 
Soil quality estimation using environmental covariates and predictive models:an example from tropical soils of Nigeria
《Ecological Processes》2022年第1期946-967,共22页Isong Abraham Isong Kingsley John Paul Bassey Okon Peter Ikor Ogban Sunday Marcus Afu 
Background:Information addressing soil quality in developing countries often depends on results from small experimental plots,which are later extrapolated to vast areas of agricultural land.This approach often results...
关键词：Decision support system Geospatial technology Predictive model Remote sensing Soil quality 
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