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

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 ...

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 ...

Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...

Mortality tables predict the likelihood of death based on age. They provide data on the probability of death for different age groups. Used by actuaries to calculate life expectancy and insurance ...

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 ...

1 School of Mathematics and Statistics, Xidian University, Xi'an, China 2 School of Mathematical Sciences, Heilongjiang University, Harbin, China Motivation: High-throughput sequencing technology ...

It’s a case of plus ça change, plus c’est la meme chose – “the more things change, the more they stay the same” – at the former La Crémaillère in the Banksville section of Bedford, now Le Poisson.

The Conway–Maxwell–Poisson (COMP) model is defined as a flexible count regression model used for over- and under-dispersion cases. In regression analysis, when ...