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 ...

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 ...

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 ...

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 ...

We analyzed migration from large cities to rural areas in Japan. The purpose of this study is to solve the problem of multicollinearity, which has been a problem when using regression models such as ...

Basic Concepts -- Everglades Example -- Statistical Issues -- R -- What Is R? -- Getting Started with R -- R Commander -- Statistical Assumptions -- Normality ...