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 ...
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

Using the Truncated Auto-Poisson Model for Spatially Correlated Counts of Vegetation

Journal of Agricultural, Biological, and Environmental Statistics, Vol. 11, No. 1 (Mar., 2006), pp. 1-23 (23 pages) With vegetation data there are often physical reasons for believing that the ...
JSTOR Daily

Regression models for public health surveillance data: a simulation study

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 ...
Kaleido Scope

SimCorrMix: Simulation of correlated data with multiple variable types including continuous and count mixture distributions

It was made possible by grant T32HL079888 from the National Heart, Lung, and Blood Institute (NHLBI) of the National Institutes of Health (NIH), and her dissertation mentor, Dr. Hemant K. Tiwari, ...
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 ...