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中山大学岭南学院高级计量经济学课件（I：Nonparametric Econometrics）CH2 Nonparametric Regression Estimation
中山大学岭南学院 高级计量经济学 课件（I：Nonparametric Econometrics） CH2 Nonparametric Regression Estimation
2017/6/14
中山大学岭南学院高级计量经济学课件（I：Nonparametric Econometrics）CH2 Nonparametric Regression Estimation。
ASYMPTOTIC EQUIVALENCE FOR NONPARAMETRIC REGRESSION
ASYMPTOTIC EQUIVALENCE NONPARAMETRIC REGRESSION
2015/8/25
We consider a nonparametric model En, generated by independent observations Xi, i = 1, ..., n, with densities p(x, θi), i = 1, ..., n, the parameters of which θi = f(i/n) ∈ Θ are driven by the values ...
ADAPTIVE SPLINE ESTIMATES FOR NONPARAMETRIC REGRESSION MODELS
ADAPTIVE SPLINE ESTIMATES NONPARAMETRIC REGRESSION MODELS
2015/8/25
ADAPTIVE SPLINE ESTIMATES FOR NONPARAMETRIC REGRESSION MODELS.
Consistency of Bayes Estimates for Nonparametric Regression: Normal Theory
Consistency Bayes estimates model selection binary regression
2015/7/14
Performance characteristics of Bayes estimates are studied. More exactly, for each subject in a data
set, let 5 be a vector of binary covariates and let Y be a normal response variable, with
E{YIE...
Minimax lower bound for kink location estimators in a nonparametric regression model with long-range dependence
nonparametric regression long-range dependence kink minimax
2011/9/22
Abstract: In this paper, a lower bound is determined in the minimax sense for change point estimators of the first derivative of a regression function in the fractional white noise model. Similar mini...
Adaptive Nonparametric Regression on Spin Fiber Bundles
Spin Fiber Bundles Mixed Spin Needlets Adaptive Nonparametric Regression Thresholding Spin Besov Spaces.
2010/12/10
The construction of adaptive nonparametric procedures by means of wavelet thresh-olding techniques is now a classical topic in modern mathematical statistics. In this paper, we extend this framework t...
Coverage Accuracy of Confidence Intervals in Nonparametric Regression
confidence interval empirical likelihood
2007/12/11
Point-wise confidence intervals for a nonparametric regression function with random design points are considered. The confidence intervals are those based on the traditional normal approximation and t...
Spatial Nonparametric Regression Estimation: Non-isotropic Case
bandwidth kernel estimator mixing non-isotropic
2007/12/11
Data collected on the surface of the earth often has spatial interaction. In this paper, a non-isotropic mixing spatial data process is introduced, and under such a spatial structure a nonparametric k...