CU Boulder News & Events

Regression for Binary and Count Data: Logistic and Poisson Regression

"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 ...
Simon Fraser University

Poisson Regression

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 ...
Simon Fraser University

Displaying the Poisson Regression Analysis

a linear function of explanatory variables. For this example, the function is a link function that relates the mean to the linear function of explanatory variables. For this example, the link function ...
JSTOR Daily

D-OPTIMAL DESIGNS FOR POISSON REGRESSION MODELS

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 ...
Kellogg School of Management

INAR(1) Poisson regression models: Analyzing heterogeneity and serial dependencies in repeated count data

Citations: Bockenholt, Ulf. 1999. INAR(1) Poisson regression models: Analyzing heterogeneity and serial dependencies in repeated count data. Journal of Econometrics. 317-338.
JSTOR Daily

Excess Zeros in Count Models for Recreational Trips

This article develops a modeling approach for a count dataset for recreational boating trips that shows a frequency of zero counts significantly higher than that expected for Poisson-distributed data.