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< h1 class = "cover" > < span > Poisson< / span > < wbr > < span > Sampler< / span > < / h1 >
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< p class = "paragraph" > Sampler for the Poisson distribution.< / p > < ul > < li > < p class = "paragraph" > For small means, a Poisson process is simulated using uniform deviates, as described in Knuth (1969). Seminumerical Algorithms. The Art of Computer Programming, Volume 2. Chapter 3.4.1.F.3 Important integer-valued distributions: The Poisson distribution. Addison Wesley. The Poisson process (and hence, the returned value) is bounded by 1000 * mean.< / p > < / li > < li > < p class = "paragraph" > For large means, we use the rejection algorithm described in Devroye, Luc. (1981). The Computer Generation of Poisson Random Variables Computing vol. 26 pp. 197-207.< / p > < / li > < / ul > < p class = "paragraph" > Based on Commons RNG implementation. See https://commons.apache.org/proper/commons-rng/commons-rng-sampling/apidocs/org/apache/commons/rng/sampling/distribution/PoissonSampler.html.< / p > < / div >
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