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Volumn , Issue , 2013, Pages

B-tests: Low variance kernel two-sample tests

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATION TIME; COMPUTATIONALLY EFFICIENT; HYPOTHESIS TESTING; KERNEL SELECTION; NULL DISTRIBUTION; NULL HYPOTHESIS; TEST STATISTICS; TWO-SAMPLE TESTS;

EID: 84899011784     PISSN: 10495258     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (26)

References (24)
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    • The accuracy of the gaussian approximation to the sum of independent variates
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    • Berry, A.C.1
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    • Kernels based tests with nonasymptotic bootstrap approaches for two-sample problems
    • M. Fromont, B. Laurent, M. Lerasle, and P. Reynaud-Bouret. Kernels based tests with nonasymptotic bootstrap approaches for two-sample problems. In COLT, 2012.
    • (2012) COLT
    • Fromont, M.1    Laurent, B.2    Lerasle, M.3    Reynaud-Bouret, P.4
  • 12
    • 85162067877 scopus 로고    scopus 로고
    • Testing for homogeneity with kernel Fisher discriminant analysis
    • MIT Press, Cambridge, MA
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    • Harchaoui, Z.1    Bach, F.2    Moulines, E.3
  • 13
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    • Two-stage U-statistics for hypothesis testing
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    • Ho, H.-C.1    Shieh, G.2
  • 16
    • 0001869771 scopus 로고
    • Sulla determinazione empirica di una legge di distribuzione
    • Andrey N Kolmogorov. Sulla determinazione empirica di una legge di distribuzione. Giornale dellIstituto Italiano degli Attuari, 4(1):83-91, 1933.
    • (1933) Giornale DellIstituto Italiano Degli Attuari , vol.4 , Issue.1 , pp. 83-91
    • Kolmogorov, A.N.1
  • 18
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    • Hypothesis testing using pairwise distances and associated kernels
    • D. Sejdinovic, A. Gretton, B. Sriperumbudur, and K. Fukumizu. Hypothesis testing using pairwise distances and associated kernels. In ICML, 2012.
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    • Sejdinovic, D.1    Gretton, A.2    Sriperumbudur, B.3    Fukumizu, K.4
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    • Testing for equal distributions in high dimension
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  • 23
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    • Measuring and testing dependence by correlation of distances
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    • Relative density-ratio estimation for robust distribution comparison
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    • Yamada, M.1    Suzuki, T.2    Kanamori, T.3    Hachiya, H.4    Sugiyama, M.5


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