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An interval decomposition-ensemble approach with data-characteristic-driven reconstruction for short-term load forecasting 期刊论文
APPLIED ENERGY, 2022, 卷号: 306, 页码: 16
Authors:  Yang, Dongchuan;  Guo, Ju-E;  Sun, Shaolong;  Han, Jing;  Wang, Shouyang
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Short-term load forecasting  Bivariate empirical mode decomposition  Decomposition-ensemble approach  Reconstruction  Bayesian optimization  Long short-term memory network  
Air pollution forecasting with multivariate interval decomposition ensemble approach 期刊论文
ATMOSPHERIC POLLUTION RESEARCH, 2021, 卷号: 12, 期号: 12, 页码: 14
Authors:  Dong, Yawei;  Zhang, Chengyuan;  Niu, Mingfei;  Wang, Shouyang;  Sun, Shaolong
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Daily PM 10 concentration forecast  Air quality  Interval forecasting  Noise-assisted multivariate empirical mode  decomposition  Maximum mutual information  
Wind speed interval prediction model based on variational mode decomposition and multi-objective optimization 期刊论文
APPLIED SOFT COMPUTING, 2021, 卷号: 113, 页码: 15
Authors:  Wang, Jianzhou;  Cheng, Zishu
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Interval prediction  Multi-objective optimization algorithm  Wind speed  Combined models  
Simultaneous variable selection in regression analysis of multivariate interval-censored data 期刊论文
BIOMETRICS, 2021, 页码: 12
Authors:  Sun, Liuquan;  Li, Shuwei;  Wang, Lianming;  Song, Xinyuan;  Sui, Xuemei
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EM algorithm  interval censoring  minimum information criterion  multivariate analysis  transformation models  
A semiparametric mixture model approach for regression analysis of partly interval-censored data with a cured subgroup 期刊论文
Authors:  Sun, Liuquan;  Li, Shuwei;  Wang, Lianming;  Song, Xinyuan
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Expectation-maximization algorithm  maximum likelihood estimation  mixture cure model  partly interval-censored data  proportional hazards model  
An initial-boundary value problem for the general three-component nonlinear Schrodinger equations on a finite interval 期刊论文
IMA JOURNAL OF APPLIED MATHEMATICS, 2021, 卷号: 86, 期号: 3, 页码: 427-489
Authors:  Yan, Zhenya
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general three-component nonlinear Schrodinger equations  initial-boundary value problem  inverse scattering  Riemann-Hilbert problem  global relation  Dirichlet and Neumann problems  Gel'fand-Levitan-Marchenko representation  
A Reliability Growth Process Model with Time-Varying Covariates and Its Application 期刊论文
MATHEMATICS, 2021, 卷号: 9, 期号: 8, 页码: 15
Authors:  Tian, Xin-Yu;  Shi, Xincheng;  Peng, Cheng;  Yi, Xiao-Jian
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AMSAA model  reliability growth  covariate effects  maximum likelihood  statistical inference  
Robust Ellipse Fitting Using Hierarchical Gaussian Mixture Models 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2021, 卷号: 30, 页码: 3828-3843
Authors:  Zhao, Mingyang;  Jia, Xiaohong;  Fan, Lubin;  Liang, Yuan;  Yan, Dong-Ming
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Kernel  Robustness  Optimization  Gaussian mixture model  Bandwidth  Two dimensional displays  Transforms  Ellipse fitting  GMM  HGMM  RANSAC  outlier  noise  robust statistic  
Effective intervals and regular Dirichlet subspaces 期刊论文
STOCHASTIC PROCESSES AND THEIR APPLICATIONS, 2020, 卷号: 130, 期号: 10, 页码: 6064-6093
Authors:  Li, Liping;  Sun, Wenjie;  Ying, Jiangang
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Dirichlet forms  Regular Dirichlet subspaces  One-dimensional symmetric diffusions  Scale functions  
Inverse electromagnetic obstacle scattering problems with multi-frequency sparse backscattering far field data 期刊论文
Inverse Problems, 2020, 卷号: 36, 期号: 10
Authors:  Arens,Tilo;  Ji,Xia;  Liu,Xiaodong
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electromagnetic obstacle scattering  sparse backscattering data  uniqueness  direct sampling methods