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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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“Bootstrapping without Bootstraps”
20181 online resource (PDF, page 43-54)
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Bootstrap Tests: How Many Bootstraps?
2001In practice, bootstrap tests must use a finite number of bootstrap samples. This means that the outcome of the test will depend on the sequence of random numbers used to generate the bootstrap samples, and it necessarily results in some loss of power.
Davidson, Russell +3 more
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Proceedings of the 29th ACM SIGPLAN Conference on Programming Language Design and Implementation, 2008
We propose a framework for improving both the scalability as well as the accuracy of pointer alias analysis, irrespective of its flow or context-sensitivities, by leveraging a three-pronged strategy that effectively combines divide and conquer, parallelization and function summarization .
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We propose a framework for improving both the scalability as well as the accuracy of pointer alias analysis, irrespective of its flow or context-sensitivities, by leveraging a three-pronged strategy that effectively combines divide and conquer, parallelization and function summarization .
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On Bootstrapping Using Smoothed Bootstrap
2019The standard bootstrap method was introduced as a resampling method for statistical inference; it is a computer based method for assigning measures of accuracy to statistical estimates. The bootstrap sample is obtained by randomly sampling n times, with replacement, from the original sample.
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Survey bootstrap and bootstrap weights [PDF]
, 2008 In this presentation, I will review the bootstrap for complex surveys with designs featuring stratification, clustering, and unequal probability weights. I will present the Stata module bsweights, which creates the bootstrap weights for designs specified through and supported by svy. I will also provide simple demonstrations highlighting the use of the
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