The goal of a machine learning regression problem is to predict a single numeric value. Poisson regression is a specific technique that can be used when the problem data is approximately Poisson ...

"Logistic and Poisson Regression," Wednesday, November 5: The fourth LISA mini course focuses on appropriate model building for categorical response data, specifically binary and count data. The most ...

The paper introduces aspects of statistical inference in Poisson regression models, with a dependent variable subject to truncation and/or censoring. Losses in efficiency, due to censoring and ...

This is a preview. Log in through your library . Abstract In this article, a seemingly unrelated Poisson regression model (SUPREME) is presented as an alternative to using Zellner's seemingly ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demo of Poisson regression, where the goal is to predict a count of things arriving, such as the number of telephone calls ...