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題名:On Finite Dimensional Approximation in Nonparametric Regression
書刊名:中國統計學報
作者:魏文翔
作者(外文):Wei, Wen Hsiang
出版日期:2016
卷期:54:4
頁次:頁186-204
主題關鍵詞:ApproximatabilityBanach spacesConsistencyNonlinear operatorNonparametric regressionWeak convergence可逼近性巴拿赫空間 一致性非線性算子無母數迴歸弱收斂性
原始連結:連回原系統網址new window
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本文建立針對無母數迴歸(nonparametric regression)中被估計函數為一定義及取值皆在可分離之實數場巴拿赫空間(real separable Banach space)的非線性算子(nonlinear operator)而其估計算子所形成空間為有限維情形下發展相關理論結果。在估計過程中,延伸出一新的概念,稱之為可逼近性(approximatability)。被估計算子在不同狀況下是可逼近的理論結果被證明,而估計算子之一致性(consistency)及弱收斂性(weak convergence)亦被證明。此外,這些理論能應用到不同的統計模式。
For the function from a real separable Banach space into a real separable Banach space, i.e., a possibly nonlinear operator, in nonparametric regression, theoretical results are established for the estimator based on finite dimensional approximation. A new concept "approximatability" is presented and the operators of interest are proved to be approximatable under different situations. The results concerning both consistency and weak convergence of the estimator are obtained. Statistical applications of these theoretical results are given.
期刊論文
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2.Enflo, Per(1973)。A counterexample to the approximation problem in Banach spaces。Acta Mathematica,130(1),309-317。  new window
3.魏文翔(20141200)。Mathematical Equation Models。中國統計學報,52(4),497-532。new window  延伸查詢new window
4.Wei, Wen Hsiang(20160900)。Weak Convergence of Probability Measures on Metric Spaces of Nonlinear Operators。Bulletin of the Institute of Mathematics, Academia Sinica New Series,11(3),485-519。  new window
圖書
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