Results 261 to 270 of about 145,962 (303)
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Computational Statistics and Data Analysis, 2011
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Sarjinder Singh, Stephen A Sedory
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Sarjinder Singh, Stephen A Sedory
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Journal of Cryptology, 2015
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Shai Halevi, Victor Shoup
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Shai Halevi, Victor Shoup
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IEEE Transactions on Automatic Control, 2006
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Mattias Aronsson +4 more
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Mattias Aronsson +4 more
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Infection Control & Hospital Epidemiology, 1994
Two questions confront data analysts: What's going on in the data? And how certain are the conclusions? One must deal with both questions to make rational decisions. John Tukey has called the two aspects of analysis exploratory and confirmatory. Consider, for example, a study in which patient
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Two questions confront data analysts: What's going on in the data? And how certain are the conclusions? One must deal with both questions to make rational decisions. John Tukey has called the two aspects of analysis exploratory and confirmatory. Consider, for example, a study in which patient
openaire +2 more sources
Biometrika, 1992
Summary: For a given statistic, nested bootstrap calculations in conjunction with kernel smoothing methods are used to calculate estimates of the density of the statistic for a range of parameter values. These density estimates are then used to generate values of an analogue of a likelihood function, a whole function being obtained by curve-fitting ...
Davison, A. C. +2 more
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Summary: For a given statistic, nested bootstrap calculations in conjunction with kernel smoothing methods are used to calculate estimates of the density of the statistic for a range of parameter values. These density estimates are then used to generate values of an analogue of a likelihood function, a whole function being obtained by curve-fitting ...
Davison, A. C. +2 more
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Statistical Methodology, 2014
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Datta, Jyotishka, Ghosh, Jayanta K.
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Datta, Jyotishka, Ghosh, Jayanta K.
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International Statistical Review / Revue Internationale de Statistique, 1992
Summary: The question of smoothing when using the non-parametric version of the bootstrap for estimation of population functionals is reconsidered. In general, there is no global preference for procedures based on a smoothed version of the empirical distribution rather than the empirical distribution itself.
de Angelis, Daniela, Young, G. Alastair
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Summary: The question of smoothing when using the non-parametric version of the bootstrap for estimation of population functionals is reconsidered. In general, there is no global preference for procedures based on a smoothed version of the empirical distribution rather than the empirical distribution itself.
de Angelis, Daniela, Young, G. Alastair
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Studia Logica, 2012
This paper introduces the notion of ``bootstrap contraction'', a new kind of contraction functions, which the author argues to be more cognitively realistic than most of the other kinds of contractions so far proposed in the literature. Given a belief set \(K\) and a set \(\mathbb{C}\) of operators on \(K\) which take elements of \(\mathcal{I}\) as ...
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This paper introduces the notion of ``bootstrap contraction'', a new kind of contraction functions, which the author argues to be more cognitively realistic than most of the other kinds of contractions so far proposed in the literature. Given a belief set \(K\) and a set \(\mathbb{C}\) of operators on \(K\) which take elements of \(\mathcal{I}\) as ...
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On the bootstrap and smoothed bootstrap
Communications in Statistics - Theory and Methods, 1989The standard bootstrap and two commonly used types of smoothed bootstrap are investigated. The saddlepoint approximations are used to evaluate the accuracy of the three bootstrap estimates of the density of a sample mean. The optimal choice for the smoothing parameter is obtained when smoothing is useful in reducing the mean squared error.
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