Improving randomness characterization through Bayesian model selection
Improving randomness characterization through Bayesian model selection
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Publisher
London: Nature Publishing Group UK
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English
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Publisher
London: Nature Publishing Group UK
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Random number generation plays an essential role in technology with important applications in areas ranging from cryptography to Monte Carlo methods, and other probabilistic algorithms. All such applications require high-quality sources of random numbers, yet effective methods for assessing whether a source produce truly random sequences are still...
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Improving randomness characterization through Bayesian model selection
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TN_cdi_doaj_primary_oai_doaj_org_article_db59a8118f7d43a0a4495ce43f1ca6af
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_db59a8118f7d43a0a4495ce43f1ca6af
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ISSN
2045-2322
E-ISSN
2045-2322
DOI
10.1038/s41598-017-03185-y
