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 ...

This is a preview. Log in through your library . Abstract Objectives: Poisson regression is now widely used in epidemiology, but researchers do not always evaluate the potential for bias in this ...

"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 ...

This article develops a modeling approach for a count dataset for recreational boating trips that shows a frequency of zero counts significantly higher than that expected for Poisson-distributed data.

As sequencing technologies have advanced, the amount of information regarding the composition of bacterial communities from various environments (for example, skin or soil) has grown exponentially. To ...

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 ...