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・ Probabilistic bisimulation
・ Probabilistic causation
・ Probabilistic classification
・ Probabilistic CTL
・ Probabilistic data association filter
・ Probabilistic database
・ Probabilistic design
・ Probabilistic encryption
・ Probabilistic forecasting
・ Probabilistic latent semantic analysis
・ Probabilistic logic
・ Probabilistic logic network
・ Probabilistic method
・ Probabilistic metric space
・ Probabilistic neural network
Probabilistic number theory
・ Probabilistic prognosis
・ Probabilistic programming language
・ Probabilistic proposition
・ Probabilistic relevance model
・ Probabilistic risk assessment
・ Probabilistic roadmap
・ Probabilistic soft logic
・ Probabilistic Turing machine
・ Probabilistic voting model
・ Probabilistic-based design optimization
・ Probabilistically checkable proof
・ Probability
・ Probability amplitude
・ Probability and statistics


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Probabilistic number theory : ウィキペディア英語版
Probabilistic number theory
Probabilistic number theory is a subfield of number theory, which explicitly uses probability to answer questions of number theory. One basic idea underlying it is that different prime numbers are, in some serious sense, like independent random variables. This however is not an idea that has a unique useful formal expression.
The founders of the theory were Paul Erdős, Aurel Wintner and Mark Kac during the 1930s, one of the periods of investigation in analytic number theory. The Erdős–Wintner theorem and the Erdős–Kac theorem on additive functions were foundational results.
==See also==

*analytic number theory
*areas of mathematics
*list of number theory topics
*list of probability topics
*mathematics
*probabilistic method
*probable prime

抄文引用元・出典: フリー百科事典『 ウィキペディア(Wikipedia)
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