This project analyzes the approximation of the binomial distribution by the Poisson distribution. Using several distance measures, such as Kullback-Leibler (KL) divergence, Jensen-Shannon divergence, ...

Given independent trials with (possibly different) success probabilities p1, p2, ..., pn, this repo computes the probability that the event happens in exactly one trial. Formally, for p = [p1, ..., pn ...

This study extends the Poisson binomial distribution by introducing correlation and dependence between binomial events, enhancing its ability to capture complex event types and improving model ...

ABSTRACT: A Poisson distribution is well used as a standard model for analyzing count data. Most of the usual constructing confidence intervals are based on an asymptotic approximation to the ...

Discover how probability distribution methods can help predict stock market returns and improve investment decisions. Learn ...