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Volumn 130, Issue 2, 2004, Pages 167-198

Kernel density estimators: Convergence in distribution for weighted sup-norms

Author keywords

Convergence in distribution; Kernel density estimator; Weighted sup norm

Indexed keywords


EID: 5644227769     PISSN: 01788051     EISSN: None     Source Type: Journal    
DOI: 10.1007/s00440-004-0339-x     Document Type: Article
Times cited : (27)

References (16)
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    • Giné, E.1    Guillou, A.2
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  • 7
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    • Weighted uniform consistency of kernel density estimators
    • To appear
    • Giné, E., Koltchinskii, V., Zinn, J.: Weighted uniform consistency of kernel density estimators. To appear in Ann. Probab. (2001)
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  • 8
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    • Koltchinskii, V.I.1
  • 9
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    • An approximation of partial sums of independent rv's and the sample df
    • Komlós, J., Major, P., Tusnády, G.: An approximation of partial sums of independent rv's and the sample df. I. Z. Wahrsch. verw. Gebiete 32, 111-131 (1975)
    • (1975) I. Z. Wahrsch. Verw. Gebiete , vol.32 , pp. 111-131
    • Komlós, J.1    Major, P.2    Tusnády, G.3
  • 10
    • 0002038546 scopus 로고
    • On the convergence rate of maximal deviations distributions for kernel regression estimates
    • Konakov, V.D., Piterbarg, V.I.: On the convergence rate of maximal deviations distributions for kernel regression estimates. J. Multivariate Analysis 15, 279-294 (1984)
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  • 13
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  • 15
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    • Piterbarg, V.I.1
  • 16
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    • Local invariance principles and their applications to density estimation
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.