College of Science, University of Shanghai for Science and Technology, Shanghai, China. For a Poisson algebra, Lichnerowicsz (see [1] ) first introduced the notion of Poisson cohomology in 1977. This ...

It is a well known fact that for the hierarchical model of a Poisson random variable Y whose mean has an Erlang distribution, the unconditional distribution of Y is negative binomial. However, the ...

A special case of multivariate count data. The general case is often handled with copulas in the literature. The computationally difficult part is that most or almost all methods require numerical ...

This repo contains models and algorithms for contrastive Poisson latent variable models (CPLVM). Given a count-based foreground dataset and a count-based backround dataset, the CPLVM is designed to ...

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 ...

Abstract: Dimension reduction on neural activity paves a way for unsupervised neural decoding by dissociating the measurement of internal neural pattern reactivation from the measurement of external ...

Just like Binomial Distribution, Poisson Distribution is also a random variable distribution. We apply Poisson distribution in any one of the following cases: n, the number of times that the ...

Purpose The purpose of this study is to account for a recent non-mainstream econometric approach using microdata and how it can inform research in business administration. More specifically, the paper ...