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 ...

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 ...

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 ...

I thank Jan Hontelez and colleagues (Jun 2018) for analyzing the effect of HIV treatment on hospitalization rates of HIV patients in KwaZulu-Natal, South Africa, during the period 2009–13. The study ...

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 ...