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trackingcontrolandparameteridentificationwithquantizedarmaxsystems 期刊论文
sciencechinainformationscience, 2019, 卷号: 62, 期号: 9
Authors:  Jing Lida;  Zhang Jifeng
Favorite  |  View/Download:4/0  |  Submit date:2019/12/13
A Robust and Powerful Set-Valued Approach to Rare Variant Association Analyses of Secondary Traits in Case-Control Sequencing Studies 期刊论文
GENETICS, 2017, 卷号: 205, 期号: 3, 页码: 1049-1062
Authors:  Kang, Guolian;  Bi, Wenjian;  Zhang, Hang;  Pounds, Stanley;  Cheng, Cheng;  Shete, Sanjay;  Zou, Fei;  Zhao, Yanlong;  Zhang, Ji-Feng;  Yue, Weihua
Favorite  |  View/Download:3/0  |  Submit date:2018/07/30
secondary traits  rare variants association analyses  case-control sequencing study  set-valued model  
Radar Target Recognition Algorithm Based on RCS Observation Sequence - Set-Valued Identification Method 期刊论文
JOURNAL OF SYSTEMS SCIENCE & COMPLEXITY, 2016, 卷号: 29, 期号: 3, 页码: 573-588
Authors:  Wang Ting;  Bi Wenjian;  Zhao Yanlong;  Xue Wenchao
Favorite  |  View/Download:9/0  |  Submit date:2018/07/30
Feature extraction  radar target recognition  RCS  set-valued identification  wavelet transform  
radartargetrecognitionalgorithmbasedonrcsobservationsequencesetvaluedidentificationmethod 期刊论文
journalofsystemsscienceandcomplexity, 2016, 卷号: 29, 期号: 3, 页码: 573
Authors:  Wang Ting;  Bi Wenjian;  Zhao Yanlong;  Xue Wenchao
Favorite  |  View/Download:3/0  |  Submit date:2020/01/10
SVSI: Fast and Powerful Set-Valued System Identification Approach to Identifying Rare Variants in Sequencing Studies for Ordered Categorical Traits 期刊论文
ANNALS OF HUMAN GENETICS, 2015, 卷号: 79, 期号: 4, 页码: 294-309
Authors:  Bi, Wenjian;  Kang, Guolian;  Zhao, Yanlong;  Cui, Yuehua;  Yan, Song;  Li, Yun;  Cheng, Cheng;  Pounds, Stanley B.;  Borowitz, Michael J.;  Relling, Mary V.;  Yang, Jun J.;  Liu, Zhifa;  Pui, Ching-Hon;  Hunger, Stephen P.;  Hartford, Christine M.;  Leung, Wing;  Zhang, Ji-Feng
Favorite  |  View/Download:8/0  |  Submit date:2018/07/30
Ordered logistic model  set-valued system identification  multiple thresholds  genetic association study  rare variants