Visual Studio Magazine

Poisson Regression Using C#

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 ...
JSTOR Daily

Poisson Regression Analysis Under Alternate Sampling Strategies

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 ...
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 ...
JSTOR Daily

Lung cancer mortality among workers in the European production of man-made mineral fibers — a Poisson regression analysis

Paolo Boffetta, Rodolfo Saracci, Aage Andersen, Pier A Bertazzi, Jenny Chang-Claude, Gilles Ferro, Antony C Fletcher, Rainer Frentzel-Beyme, Martin J Gardner, Jørgen H Olsen, Lorenzo Simonato, Lyly ...
Simon Fraser University

Example 15.6: Creating an Output Data Set from an ODS Table

The ODS OUTPUT statement creates SAS data sets from ODS tables. In the following example, the GENMOD procedure is invoked to perform Poisson regression and part of the resulting procedure output is ...
Visual Studio Magazine

Poisson Regression Using C#

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 ...