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Volumn 56, Issue 1, 2010, Pages 597-613

Piecewise polynomial estimation of a regression function

Author keywords

CART; Concentration inequalities; Model selection; Oracle inequalities; Polynomial estimation; Regression

Indexed keywords

CONCENTRATION INEQUALITIES; CONCENTRATION INEQUALITY; MODEL SELECTION; PENALIZED LEAST-SQUARES; PIECEWISE POLYNOMIAL MODELS; PIECEWISE POLYNOMIALS; REGRESSION FUNCTION;

EID: 73849130908     PISSN: 00189448     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIT.2009.2027481     Document Type: Article
Times cited : (4)

References (15)
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  • 2
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  • 5
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    • Histogram selection in non Gaussian regression
    • M. Sauvé, "Histogram selection in non Gaussian regression," ESAIM Prob. Statist., vol. 13, pp. 70-86, 2009.
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    • Sauvé, M.1
  • 6
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    • A new algorithm for fixed design regression and denoising
    • F. Comte and Y. Rozenholc, "A new algorithm for fixed design regression and denoising," Ann. Inst. Statist. Math., vol. 56, no. 3, pp. 449-473, 2004.
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    • Comte, F.1    Rozenholc, Y.2
  • 7
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  • 9
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  • 10
    • 34547472681 scopus 로고    scopus 로고
    • Universal algorithms for learning theory part II: Piecewise polynomials
    • P.Binev, A. Cohen, W.Dahmen, and R. DeVore, "Universal algorithms for learning theory part II: Piecewise polynomials," Construct. Approx., vol. 26, pp. 127-152, 2007.
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  • 14
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    • Model selection for CART regression trees
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    • Gey, S.1    Nédélec, E.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.