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Volumn 99, Issue 2, 2000, Pages 1110-1119

Adaptive chi-square tests

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EID: 28044470992     PISSN: 10723374     EISSN: 15738795     Source Type: Journal    
DOI: 10.1007/BF02673632     Document Type: Article
Times cited : (23)

References (16)
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    • Ermakov, M.S.1
  • 6
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    • Minimaxnonparametric hypothesis testing: The case of an inhomogeneous alternative
    • Humboldt Univ., Berlin
    • O. V. Lepski and V. G. Spokoiny, "Minimaxnonparametric hypothesis testing: The case of an inhomogeneous alternative, " Technical Report 44, Humboldt Univ., Berlin (1995).
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    • Lepski, O.V.1    Spokoiny, V.G.2
  • 7
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    • Adaptive hypotheses testing using wavelets
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  • 8
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  • 9
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    • Asymptotically exact nonparametric hypothesis testing in sup-norm and at a fixed point
    • Humboldt Univ., Berlin
    • O. V. Lepski and A. B. Tsybakov, "Asymptotically exact nonparametric hypothesis testing in sup-norm and at a fixed point, " Discussion Paper 91, Humboldt Univ., Berlin (1996).
    • (1996) Discussion Paper 91
    • Lepski, O.V.1    Tsybakov, A.B.2
  • 12
    • 0000012624 scopus 로고
    • On the problem of adaptive estimating in the Gaussian white noise
    • O. V. Lepski, "On the problem of adaptive estimating in the Gaussian white noise, " Teor. Veroyatn. Primen., 35, 454-466 (1990).
    • (1990) Teor. Veroyatn. Primen. , vol.35 , pp. 454-466
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  • 13
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  • 14
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    • Burnashev, M.V.1
  • 15
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    • P. Hall, "Central limit theorem for integrated square error of multivariate nonparametric density estimators, " J. Multivar. Anal., 14, 1-16 (1984).
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  • 16
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    • Rate of convergence in the central limit theorem for martingales
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.