Training a Poisson regression model is the process of finding the values of the intercept/constant and the coefficients so that predicted y count values (before rounding) closely match the known, ...

You can use the GENMOD procedure to fit a variety of statistical models. A typical use of PROC GENMOD is to perform Poisson regression. You can use the Poisson distribution to model the distribution ...

Count-data models are used to analyze the relationship between patents and research and development spending at the firm level, accounting for overdispersion using a finite mixed Poisson regression ...

Ridout, Hinde, and Demétrio (2001, Biometrics 57, 219-223) derived a score test for testing a zero-inflated Poisson (ZIP) regression model against zero-inflated negative binomial (ZINB) alternatives.

Course Topics"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 ...

This paper is on Countryside revitalization, interregional migration, Poisson gravity model, and elastic net regression. In order to make public as quickly as possible the results of theoretical ...