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    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/115433


    Title: 隨機場迴歸問題的適應性估計
    Authors: 黃子銘
    Contributors: 統計學系
    Keywords: 隨機場迴歸;適應性估計
    random field regression;adaptive estimation
    Date: 2015
    Issue Date: 2017-12-26 17:46:09 (UTC+8)
    Abstract: 本研究針對隨機場迴歸問題提出具適應性的估計量. 估計量是使用penalized least squares 方法及B-spline基底所得到. 若迴歸函數屬於Sobolev space, 則在適當條件下, 估計量可達到近似 minimax 收斂速度
    In this study, an adaptive estimator in random field regression is proposed. The estimator is based on penalized least squares and B-spline approximation. If the regression function to be estimated is in a Sobolev space, then the rate of convergence for the proposed estimator is nearly the minimax convergence rate.
    Relation: 執行起迄：2015/08/01~2016/07/31
    104-2118-M-004-003
    Data Type: report
    Appears in Collections:[Department of Computer Science ] NSC Projects

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