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Recursive Identification of Hammerstein Systems: Convergence Rate and Asymptotic Normality 期刊论文
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2017, 卷号: 62, 期号: 7, 页码: 3277-3292
Authors:  Mu, Biqiang;  Chen, Han-Fu;  Wang, Le Yi;  Yin, George;  Zheng, Wei Xing
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Asymptotic normality  Hammerstein system  kernel function  nonparametric approach  recursive estimation  stochastic approximation  strong consistency  
Dimension reduction estimation for probability density with data missing at random when covariables are present 期刊论文
JOURNAL OF STATISTICAL PLANNING AND INFERENCE, 2017, 卷号: 181, 页码: 11-29
Authors:  Deng, Jianqiu;  Wang, Qihua
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Kernel density estimation  Kernel regression  Dimension reduction  Missing at random  Asymptotic normality  
A varying coefficient approach to estimating hedonic housing price functions and their quantiles 期刊论文
JOURNAL OF APPLIED STATISTICS, 2017, 卷号: 44, 期号: 11, 页码: 1979-1999
Authors:  Wan, Alan T. K.;  Xie, Shangyu;  Zhou, Yong
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Hedonic price function  heterogeneity  housing  kernel estimation  quantile regression  varying-coefficient  
Estimation and confidence bands of a conditional survival function with censoring indicators missing at random 期刊论文
JOURNAL OF MULTIVARIATE ANALYSIS, 2008, 卷号: 99, 期号: 5, 页码: 928-948
Authors:  Wang, Qihua;  Shen, Junshan
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kernel regression  confidence bands  empirical likelihood  missing at random  random censorship  
Detections of changes in return by a wavelet smoother with conditional heteroscedastic volatility 期刊论文
JOURNAL OF ECONOMETRICS, 2008, 卷号: 143, 期号: 2, 页码: 227-262
Authors:  Chen, Gongmeng;  Choi, Yoon K.;  Zhou, Yong
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nonparametric regression  wavelet coefficient  change points  kernel estimation  local polynomial smoother  conditional heteroscedastic variance  alpha-mixing  
Exploring spatial nonlinearity using additive approximation 期刊论文
BERNOULLI, 2007, 卷号: 13, 期号: 2, 页码: 447-472
Authors:  Lu, Zudi;  Lundervold, Arvid;  Tjostheim, Dag;  Yao, Qiwei
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additive approximation  alpha-mixing  asymptotic normality  auto-normal specification  backfitting  nonparametric kernel estimation  spatial models  uniform convergence  
Estimation in semiparametric spatial regression 期刊论文
ANNALS OF STATISTICS, 2006, 卷号: 34, 期号: 3, 页码: 1395-1435
Authors:  Gao, Jiti;  Lu, Zudi;  Tjostheim, Dag
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additive approximation  asymptotic theory  conditional autoregression  local linear kernel estimate  marginal integration  semiparametric regression  spatial mixing process  
Nonparametric regression function estimation with surrogate data and validation sampling 期刊论文
JOURNAL OF MULTIVARIATE ANALYSIS, 2006, 卷号: 97, 期号: 5, 页码: 1142-1161
Authors:  Wang, QH
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measurement error  asymptotic normality  convergence rate  
Spatial Nonparametric Regression Estimation: Non-isotropic Case 期刊论文
Acta Mathematicae Applicatae Sinica, 2002, 卷号: 18, 期号: 4, 页码: 641-656
Authors:  Lu Zudi;  Chen Xing
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bandwidth  kernel estimator  mixing  non-isotropic  spatial data  spatial conditional regression  weak consistency and rates  
Density estimation for spatial linear processes 期刊论文
BERNOULLI, 2001, 卷号: 7, 期号: 4, 页码: 657-668
Authors:  Hallin, M;  Lu, ZD;  Tran, LT
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bandwidth  density estimation  kernel  spatial process