SEMIPARAMETRIC

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Semiparametric expectile regression for high-dimensional heavy-tailed and heterogeneous data
《Applied Mathematics(A Journal of Chinese Universities)》2025年第1期53-77,共25页ZHAO Jun YAN Guan-ao ZHANG Yi 
Supported by the Hangzhou Joint Fund of the Zhejiang Provincial Natural Science Foundation of Chi-na(LHZY24A010002);the MOE Project of Humanities and Social Sciences(21YJCZH235).
High-dimensional heterogeneous data have acquired increasing attention and discussion in the past decade.In the context of heterogeneity,semiparametric regression emerges as a popular method to model this type of data...
关键词：expectile regression HETEROGENEITY heavy tail partially linear additive model 
Environmental Inequality in China’s Urban Expansion:A Case Study of Guangzhou,China
《Chinese Geographical Science》2025年第1期187-202,共16页WANG Shaogu SHEN Jing 
Under the auspices of the National Natural Science Foundation of China(No.42271181,41871111)。
Environmental inequality is a prevalent issue in developing countries undergoing urban expansion.Urban expansion induces the formation and evolution of environmental inequality by creating environmental and structural...
关键词：environmental inequality urban expansion spatiotemporal evolution additive semiparametric quantile regression Guangzhou China 
Semiparametric Additive Hazards Model with Doubly Truncated Data
《Acta Mathematica Sinica,English Series》2025年第2期619-639,共21页Yijin Zhang Liuquan Sun 
Supported by the National Natural Science Foundation of China(Grant No.12171463)。
Doubly truncated data arise when the survival times of interest are observed only if they fall within certain random intervals.In this paper,we consider a semiparametric additive hazards model with doubly truncated da...
关键词：Additive hazards model double truncation estimating equations inverse weighting survival analysis 
Diagnostic Measures for Functional Linear Model with Nonignorable Missing Responses
《Communications in Mathematics and Statistics》2024年第3期543-562,共20页Yujian Zhu Puying Zhao 
supported by the General Project of National Natural Science Foundation of China(Grant No.12071416).
Assessing the influence of individual observations of the functional linear models is important and challenging,especially when the observations are subject to missingness.In this paper,we introduce three case-deletio...
关键词：Case deletion Diagnostic measure Functional linear model Nonignorable nonresponse Semiparametric imputation 
Asymptotic Inference in the Random Coefficient Autoregressive Model with Time-functional Variance Noises
《Acta Mathematicae Applicatae Sinica》2024年第2期320-346,共27页En-wen ZHU Zi-wei DENG Han-jun ZHANG Jun CAO Xiao-hui LIU 
supported by the National Natural Science Foundation of China(Grant No.52338009);the National Science Fund for Distinguished Young Scholars(Grant No.52025085);the Graduate Research Innovation Project of Hunan Province(Grant No.CX20220952);Xiaohui Liu’s research is supported by the NSF of China(Grant No.11971208);the National Social Science Foundation of China(Grant No.21&ZD152);the Outstanding Youth Fund Project of the Science and Technology Department of Jiangxi Province(Grant No.20224ACB211003);the NSF of China(Grant No.92358303).
This paper considers the random coefficient autoregressive model with time-functional variance noises,hereafter the RCA-TFV model.We first establish the consistency and asymptotic normality of the conditional least sq...
关键词：random coefficient autoregressive model time-functional variance conditional least squares semiparametric least squares 
Modelling the Survival of Western Honey Bee Apis mellifera and the African Stingless Bee Meliponula ferruginea Using Semiparametric Marginal Proportional Hazards Mixture Cure Model
《Journal of Data Analysis and Information Processing》2024年第1期24-39,共16页Patience Isiaho Daisy Salifu Samuel Mwalili Henri E. Z. Tonnang 
Classical survival analysis assumes all subjects will experience the event of interest, but in some cases, a portion of the population may never encounter the event. These survival methods further assume independent s...
关键词：Mixture Cure Models Clustered Survival Data Correlation Structure Cox-Snell Residuals EM Algorithm Expectation-Solution Algorithm 
Subgroup Analysis for Longitudinal Data via Semiparametric Additive Mixed Effects Model
《Journal of Systems Science & Complexity》2023年第5期2155-2185,共31页BO Xiaolin ZHANG Weiping 
supported in part by the National Natural Science Foundation of China under Grant No.12171450。
This paper proposed a general framework based on semiparametric additive mixed effects model to identify subgroups on each covariate and estimate the corresponding regression functions simultaneously for longitudinal ...
关键词：Additive model BACKFITTING mixed effects subgroup identification 
Semiparametric Model Averaging for Ultrahigh-Dimensional Conditional Quantile Prediction
《Acta Mathematica Sinica,English Series》2023年第6期1171-1202,共32页Chao Hui GUO Jing LV Hu YANG Jing Wen TU Chen Xiao TIAN 
Supported by the National Natural Science Foundation of China Grant(Grant No.12201091);Natural Science Foundation of Chongqing Grant(Grant Nos.CSTB2022NSCQ-MSX0852,cstc2021jcyj-msxmX0502);Innovation Support Program for Chongqing Overseas Returnees(Grant No.cx2020025);Science and Technology Research Program of Chongqing Municipal Education Commission(Grant Nos.KJQN202100526,KJQN201900511);the National Statistical Science Research Program(Grant No.2022LY019);Chongqing University Innovation Research Group Project:Nonlinear Optimization Method and Its Application(Grant No.CXQT20014)。
In this paper,we develop a flexible semiparametric model averaging marginal regression procedure to forecast the joint conditional quantile function of the response variable for ultrahighdimensional data.First,we appr...
关键词：Kernel regression model averaging oracle property penalized quantile regression ultrahigh-dimension data 
Statistical inference for the nonparametric and semiparametric hidden Markov model via the composite likelihood approach
《Science China Mathematics》2023年第3期601-626,共26页Mian Huang Yue Huang Weixin Yao 
supported by Shanghai Young Talent Development Program and Innovative Research Team of Shanghai University of Finance and Economics(Grant No.2020110930);supported by the Department of Energy of USA(Grant No.DE-EE0008574)。
In this paper, we propose a new estimation method for a nonparametric hidden Markov model(HMM), in which both the emission model and the transition matrix are nonparametric, and a semiparametric HMM, in which the tran...
关键词：nonparametric HMM nonhomogeneous HMM semiparametric estimate composite likelihood generalized likelihood ratio test 
Large Dynamic Covariance Matrix Estimation with an Application to Portfolio Allocation:A Semiparametric Reproducing Kernel Hilbert Space Approach
《Journal of Systems Science & Complexity》2022年第4期1429-1457,共29页PENG Siyang GUO Shaojun LONG Yonghong 
supported by National Natural Science Foundation of China under Grant No.11771447。
The estimation of high dimensional covariance matrices is an interesting and important research topic for many empirical time series problems such as asset allocation. To solve this dimension dilemma, a factor structu...
关键词：Dynamic structure factor models high dimensional covariance matrices portfolio allocation reproducing kernel Hilbert space 
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