GitHub

Simulates coin tosses and the Poisson distribution, comparing experimental histograms with theoretical probability mass functions.

There was an error while loading. Please reload this page. 2- Get the histogram of the data and normalize the counts so that the histogram sums to 1 (hist – the ...
IEEE

Applications of Poisson's probability summation

Abstract: The applicability of Poisson's exponential summation to a variety of actual data is illustrated by thirty-two examples of actual frequency-distributions to which the Poisson distribution is ...
Digi Times

Simeon Denis Poisson's work in probability theory underpins modern AI and machine learning applications

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 ...
Simon Fraser University

Poisson Regression

You can use the GENMOD procedure to fit a variety of statistical models. A typical use of PROC GENMOD is to perform Poisson regression. You can use the Poisson distribution to model the distribution ...
Queen's University

COM-Poisson Code

This web-page contains code and documentation pertaining to the COM-Poisson probability distribution for the application of modelling ionization statistics. This is ...
Scientific Research Publishing

Probability Distributions Arising in Connection with the Inspection Paradox for the Poisson Process ()

The Inspection Paradox refers to the fact that in a Renewal Process, the length of the interarrival period which contains a fixed time is stochastically larger than the length of a typical ...