منابع مشابه
A Kernel Statistical Test of Independence
Although kernel measures of independence have been widely applied in machine learning (notably in kernel ICA), there is as yet no method to determine whether they have detected statistically significant dependence. We provide a novel test of the independence hypothesis for one particular kernel independence measure, the Hilbert-Schmidt independence criterion (HSIC). The resulting test costs O(m...
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Random numbers and random sequences are used to produce vital parts of cryptographic algorithms such as encryption keys and therefore the generation and evaluation of random sequences in terms of randomness are vital. Test suites consisting of a number of statistical randomness tests are used to detect the nonrandom characteristics of the sequences. Construction of a test suite is not an easy t...
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The paper described three previously undetected effects, due to biases and non-independence, that can arise in statistical tests for associations between character states in cross-species data. One kind, which we call the family problem, is general to all known methods. In phytogenetic data, the ancestral character state from which changes occur, or below which variation is found, is likely to ...
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tion in whole or in part is permitted for any purpose of the United states Government.
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This article has no abstract.
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ژورنال
عنوان ژورنال: Nihon Ika Daigaku Igakkai Zasshi
سال: 2014
ISSN: 1349-8975,1880-2877
DOI: 10.1272/manms.10.115