A compiled version for web browsers is also available on a CDN: Fill the grid with random points following the distance constraint. Returns the entirety of the points in the grid as an array of ...

Abstract: Poisson-Poisson cluster processes (PPCPs) are a class of point processes exhibiting attractive point patterns. Recently, PPCPs have been actively studied for modeling and analysis of ...

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Abstract: Duals of probability distributions on continuous (R) domains exist on discrete (Z) domains. The Poisson distribution on R, for example, manifests itself as a binomial distribution on Z. Time ...

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The Poisson distribution is widely used in artificial intelligence (AI) and machine learning. In Bayesian inference, probability distributions often help solve problems that would otherwise be ...

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Probability is a measure of the likelihood that a particular event will occur. It plays an essential role in various fields, including statistics, mathematics, and financial analysis. Trying to ...

The Poisson distribution is a special case of the binomial distribution that it models discrete events. It expresses the probability of a number of relatively rare events occurring in a fixed time if ...