COVARIATE

作品数:49被引量:21H指数:2
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相关领域:理学更多>>
相关机构:山东大学更多>>
相关期刊:《Science China Mathematics》《Wuhan University Journal of Natural Sciences》《Journal of Earth Science》《Intelligent Automation & Soft Computing》更多>>
相关基金:国家自然科学基金国家教育部博士点基金北京市自然科学基金国家高技术研究发展计划更多>>
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Generalized Height-Diameter Models for Pinus montezumae Lamb. and Pinus pseudostrobus Lindl. Plantations in Michoacan, Mexico
《Open Journal of Forestry》2024年第3期214-232,共19页Jonathan Hernández-Ramos Valentín José Reyes-Hernández Héctor Manuel De los Santos-Posadas Aurelio Manuel Fierros-González Enrique Buendía-Rodríguez Gerónimo Quiñonez-Barraza 
Tree height (H) in a natural stand or forest plantation is a fundamental variable in management, and the use of mathematical expressions that estimate H as a function of diameter at breast height (d) or variables at t...
关键词:Random Covariate Random Effects Variance Structure Forest Inventories Forest Management Mixed Models 
Deterministic wave prediction model for irregular long-crested waves with Recurrent Neural Network被引量:1
《Journal of Ocean Engineering and Science》2024年第3期251-263,共13页Yue Liu Xiantao Zhang Gang Chen Qing Dong Xiaoxian Guo Xinliang Tian Wenyue Lu Tao Peng 
supported by Hainan Provincial Natural Science Foundation of China(Grant no.520QN290);the 2020 Research Pro-gram of Sanya Yazhou Bay Science and Technology City(Grant No.SKJC-2020-01-006);the Hainan Provincial Science and Technol-ogy Plan-Sanya Yazhou Bay Science and Technology City Natural Science Foundation Joint Project(2021JJLH0062).
Real-time predicting of stochastic waves is crucial in marine engineering.In this paper,a deep learning wave prediction(Deep-WP)model based on the‘probabilistic’strategy is designed for the short-term prediction of ...
关键词:Real-time wave prediction PROBABILITY LSTM COVARIATE 
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 
Importance-Weighted Transfer Learning for Fault Classification under Covariate Shift
《Intelligent Automation & Soft Computing》2024年第4期683-696,共14页Yi Pan Lei Xie Hongye Su 
In the process of fault detection and classification,the operation mode usually drifts over time,which brings great challenges to the algorithms.Because traditional machine learning based fault classification cannot d...
关键词:Covariate shift adaption nonlinear multi-mode process importance weight sampling multi-fault classification 
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 
A Triplet-Branch Convolutional Neural Network for Part-Based Gait Recognition
《Computer Systems Science & Engineering》2023年第11期2027-2047,共21页Sang-Soo Yeo Seungmin Rho Hyungjoon Kim Jibran Safdar Umar Zia Mehr Yahya Durrani 
supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT) (No.2022R1F1A1063134);the MSIT (Ministry of Science and ICT),Korea,under the ITRC (Information Technology Research Center)Support Program (IITP-2022-2018-0-01799)supervised by the IITP (Institute for Information&communications Technology Planning&Evaluation).
Intelligent vision-based surveillance systems are designed to deal with the gigantic volume of videos captured in a particular environment to perform the interpretation of scenes in form of detection,tracking,monitori...
关键词:Vision-based surveillance systems deep learning triplet-branch CNN gait recognition covariate conditions 
Decomposition of Covariate-Dependent Graphical Models with Categorical Data
《Communications in Mathematical Research》2023年第3期414-436,共23页Binghui Liu Jianhua Guo 
supported by the National Key R&D Program of China (Grant 2020YFA0714102);the National Natural Science Foundation of China (Grant 12171079).
Graphical models are wildly used to describe conditional dependence relationships among interacting random variables.Among statistical inference problems of a graphical model,one particular interest is utilizing its i...
关键词:COLLAPSIBILITY contingency tables covariate-dependent DECOMPOSITION graphical models 
Robust variance estimation for covariate-adjusted unconditional treatment effect in randomized clinical trials with binary outcomes
《Statistical Theory and Related Fields》2023年第2期159-163,共5页Ting Ye Marlena Bannick Yanyao Yi Jun Shao 
This work was supported by National Institute of Allergy and Infectious Diseases[NIAID 5 UM1 AI068617].
To improve the precision of estimation and power of testing hypothesis for an unconditional treatment effect in randomized clinical trials with binary outcomes,researchers and regulatory agencies recommend using g com...
关键词:G-computation modelassisted nonlinear covariate adjustment risk difference logistic regression STANDARDIZATION 
Multi-arm covariate-adaptive randomization
《Science China Mathematics》2023年第1期163-190,共28页Feifang Hu Xiaoqing Ye Li-Xin Zhang 
supported by the National Key R&D Program of China (Grant No.2018YFC2000302);National Natural Science Foundation of China (Grant Nos.11731012,11731011 and 12031005);Ten Thousands Talents Plan of Zhejiang Province (Grant No.2018R52042);the Fundamental Research Funds for the Central Universities。
Simultaneously investigating multiple treatments in a single study achieves considerable efficiency in contrast to the traditional two-arm trials.Balancing treatment allocation for influential covariates has become in...
关键词:multiple treatment balancing covariate clinical trial marginal balance Markov chain Hu and Hu’s general procedure Pocock and Simon’s procedure stratified permuted block design 
Comparison of Covariate Balance Weighting Methods in Estimating Treatment Effects
《Journal of Systems Science & Complexity》2022年第6期2263-2277,共15页ZHAN Mingfeng FANG Ying LIN Ming 
the National Natural Science Foundation of China under Grant Nos.71631004 and 72033008;the National Science Foundation for Distinguished Young Scholars under Grant No.71625001;the Science Foundation of Ministry of Education of China under Grant No.19YJA910003。
Different covariate balance weighting methods have been proposed by researchers from different perspectives to estimate the treatment effects.This paper gives a brief review of the covariate balancing propensity score...
关键词:Average treatment effect calibration balance weighting covariate balance integrated propensity score quantile treatment effects stable balance weighting 
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