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 ...

"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 ...

We consider the problem of finding an optimal design under a Poisson regression model with a log link, any number of independent variables, and an additive linear predictor. Local D-optimality of a ...

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 ...