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搜索结果: 1-12 共查到理学 Nonparametric regression相关记录12条 . 查询时间(0.223 秒)
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       font style='font-size:12px;'> 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.
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...
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...
Abstract: It has recently been shown that an unbinned distance-based statistic, the energy, can be used to construct an extremely powerful nonparametric multivariate two sample goodness-of-fit test. A...
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...
Since some theoretical assumptions needed in linear regression are not always fulfilled in practical applications, nonparametric regression was investigated as an alternative method in regional floo...
Let (X, Y) be a pair of random variables such that X ranges over [0, 1] and Y is real-valued and let go(X) be the conditional expectation of Y given X. Based on a training sample, the piecewise polyno...
Coverage Accuracy of Confidence Intervals in Nonparametric Regression     confidence interval  empirical likelihood         font style='font-size:12px;'> 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       font style='font-size:12px;'> 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...
In this paper we study the estimation of the regression function. We establish a law ofthe iterated logarithm for the random window-width kernel estimator and, as an application, for a nearest neighbo...

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