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 ...

Quasi-Poisson and negative binomial regression models have equal numbers of parameters, and either could be used for overdispersed count data. While they often give similar results, there can be ...

"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 ...

Poisson processes where the mean is a function of known exogenous variables and a vector of unknown parameters have been widely studied and used. However, the existing theory of estimation of the ...

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 ...