Improving randomness characterization through Bayesian model selection

Abstract 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...

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Autores principales: Rafael Díaz Hernández Rojas, Aldo Solís, Alí M. Angulo Martínez, Alfred B. U’Ren, Jorge G. Hirsch, Matteo Marsili, Isaac Pérez Castillo
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2017
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Acceso en línea:https://doaj.org/article/db59a8118f7d43a0a4495ce43f1ca6af
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