2020
DOI: 10.1007/s00591-020-00287-z
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Statistical independence in mathematics–the key to a Gaussian law

Abstract: In this manuscript we discuss the notion of (statistical) independence embedded in its historical context. We focus in particular on its appearance and role in number theory, concomitantly exploring the intimate connection of independence and the famous Gaussian law of errors. As we shall see, this at times requires us to go adrift from the celebrated Kolmogorov axioms, which give the appearance of being ultimate ever since they have been introduced in the 1930s. While these insights are known to many a mathem… Show more

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Cited by 2 publications
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“…. , r −1}valued sequences, with uniform marginals (see also[39, Section 2.3] for a more detailed exposition).…”
mentioning
confidence: 99%
“…. , r −1}valued sequences, with uniform marginals (see also[39, Section 2.3] for a more detailed exposition).…”
mentioning
confidence: 99%
“…. , r − 1}-valued sequences, with uniform marginals (see also[38, Section 2.3] for a more detailed exposition).…”
mentioning
confidence: 99%