Poisson regression models the noisy output of a counting function as a Poisson random variable, with a log-mean parameter that is a linear function of the input vector. In this work, we analyze ...

Earlier this month, Victoria Ronat and Thomas Ename made their first TikTok video about an orange fish named Steve — Steve le poisson, in French — who has human-esque features. Ms.

There are many code libraries that contain implementations of Poisson regression, such as the Python scikit-learn library PoissonRegressor module. However, implementing Poisson regression from scratch ...

This repository offers a step-by-step guide to Poisson regression analysis, encompassing data import, exploration, visualization, feature engineering, and model fitting, enabling users to gain a ...

The regression is based on the maximum-likelihood solution for the best-fit parameters presented in an earlier publication, and this study introduces a simple analytical solution for the covariance ...

The Conway–Maxwell–Poisson (COM–Poisson) distribution was proposed by Conway and Maxwell [3]. This distribution is applicable to real counting data that express over- and under-dispersion data, so COM ...

Discover a new robust estimator for Poisson regression models. Our study compares it to maximum likelihood estimators and robust methods, showing superior performance in the presence of outliers.

Poisson regression models the noisy output of a counting function as a Poisson random variable, with a log-mean parameter that is a linear function of the input vector. In this work, we analyze ...