Skip navigation

DSpace

機構典藏 DSpace 系統致力於保存各式數位資料(如:文字、圖片、PDF)並使其易於取用。

點此認識 DSpace
DSpace logo
English
中文
  • 瀏覽論文
    • 校院系所
    • 出版年
    • 作者
    • 標題
    • 關鍵字
  • 搜尋 TDR
  • 授權 Q&A
    • 我的頁面
    • 接受 E-mail 通知
    • 編輯個人資料
  1. NTU Theses and Dissertations Repository
  2. 社會科學院
  3. 經濟學系
請用此 Handle URI 來引用此文件: http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/25832
完整後設資料紀錄
DC 欄位值語言
dc.contributor.advisor銀慶剛(Ching-Kang Ing)
dc.contributor.authorTzu-Chang Chengen
dc.contributor.author鄭子長zh_TW
dc.date.accessioned2021-06-08T06:32:27Z-
dc.date.copyright2006-07-31
dc.date.issued2006
dc.date.submitted2006-07-23
dc.identifier.citationBreiman, L. and Freedman, D. (1983). How many variables should be entered in a regression equation. J. Amer. Statist. Assoc. 78 131-136.
B¨uhmann, P. and Yu, B. (2003). Boosting with the l2loss: regression and classification. J. Amer. Statist. Assoc. 98 324-339.
B¨uhmann, P. (2006). Boosting for high-dimensional linear models. To appear in the Ann. Statist. 34.
Burnham, K. P. and Anderson, D. R. (2002). Model selection and inference: a practical information theoretical approach (2nd ed.). Springer-Verlag, New York.
Findley, D. F. and Wei, C. Z. (1993). Moment bounds for deriving time series CLT’s and model selection procedures . Statistica Sinica 3 453-480.
Freund, Y. and Schapire, R. (1996). Experiments with a new boosting algorithm. In Machine Learning: Proc. Thirteenth Intern. Conf. Morgan Kauffman.
Freedman, J. (2001). Greedy function approximation: a gradient boosting machine. Ann. Statist. 29 1189-1232.
Ing, C. K. and Wei, C. Z. (2003). On same-realization prediction in an infinite-order autoregressive process. Journal of Multivariate Anal. 85 130-155.
Ing, C. K. and Wei, C. Z. (2005). Order selection for same-realization predictions in autoregressive processes. Ann. Statist. 33 2423-2474.
Shibata, R. (1981). An optimal selection of regression variables. Biometrika 68 45-54.
Temlyakov, V. (2000). Weak greedy algorithm. Adv. Comput. Math. 12 213-227.
Wei, C. Z. (1987). Adaptive prediction by least squares predictors in stochastic regression models with application to time series. Ann. Statist. 15 1667-1682.
dc.identifier.urihttp://tdr.lib.ntu.edu.tw/jspui/handle/123456789/25832-
dc.description.abstractWe examine the stochastic properties of L2Boosting estimator with rigorous treatment. Our research focuses on the weak orthogonal greedy algorithm because of its accessibility to analysis. Under mild conditions, the uniform law of large number of the optimal L2Boosting
estimator is established and the uniqueness of the optimal selection path is suggested. Based on the established results, we derive the exact asymptotic form for mean squared prediction error of L2Boosting estimator, and an algebraic tradeoff between squared bias and variance
is found. The asymptotic expression serves as preliminaries for the future investigation on the optimal stopping rule of L2Boosting algorithm.
en
dc.description.provenanceMade available in DSpace on 2021-06-08T06:32:27Z (GMT). No. of bitstreams: 1
ntu-95-R92323047-1.pdf: 351566 bytes, checksum: ff923f859b3a3bc57ebbb78e45f47087 (MD5)
Previous issue date: 2006
en
dc.description.tableofcontents1 Introduction 1
2 L2Boosting Regression Model 3
2.1 Weak orthogonal greedy algorithm (Population version) . . . . 4
2.2 Uniform bound of weak orthogonal greedy algorithm from
Temlyakov (2000) . . . . . . . . . . . . . . . . . . . . . . . . . 4
2.3 Weak orthogonal greedy algorithm (Sample version) . . . . . . 5
2.4 Weak orthogonal greedy algorithm (Semi-Population version) . 5
3 Proof of Preparatory Probability Bounds 7
4 The Uniqueness of Selection Path 17
5 The MSPE of The Boosting Predictor 19
6 Conclusion 32
References 32
dc.language.isoen
dc.title偏誤模型下L2Boosting估計法的極限預測方差zh_TW
dc.titleAsymptotic Mean Squared Prediction Error of Boosting
Estimator under Misspecified Models
en
dc.typeThesis
dc.date.schoolyear94-2
dc.description.degree碩士
dc.contributor.oralexamcommittee陳素雲(Su-Yun Huang),張源俊(Yuan-chin Ivan Chang),俞淑惠(Shu-hui Yu),李育杰(Yuh-Jye Lee)
dc.subject.keyword預測方差,L2Boosting,模型選擇,WGA,WOGA,zh_TW
dc.subject.keywordasymptotic mean squared prediction error,L2Boosting,model selection,weak greedy algorithm,weak greedy orthogonal algorithm,en
dc.relation.page33
dc.rights.note未授權
dc.date.accepted2006-07-24
dc.contributor.author-college社會科學院zh_TW
dc.contributor.author-dept經濟學研究所zh_TW
顯示於系所單位:經濟學系

文件中的檔案:
檔案 大小格式 
ntu-95-1.pdf
  目前未授權公開取用
343.33 kBAdobe PDF
顯示文件簡單紀錄


系統中的文件,除了特別指名其著作權條款之外,均受到著作權保護,並且保留所有的權利。

社群連結
聯絡資訊
10617臺北市大安區羅斯福路四段1號
No.1 Sec.4, Roosevelt Rd., Taipei, Taiwan, R.O.C. 106
Tel: (02)33662353
Email: ntuetds@ntu.edu.tw
意見箱
相關連結
館藏目錄
國內圖書館整合查詢 MetaCat
臺大學術典藏 NTU Scholars
臺大圖書館數位典藏館
本站聲明
© NTU Library All Rights Reserved