Poisson regression is a specific technique that can be used when the problem data is approximately Poisson distributed. The most common scenario where Poisson distributed data arises is when the ...

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 ...

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 ...

Using Poisson regression ameliorates—but does not completely alleviate—the inherent correlation structure of compositional data; more complex methods using, for example, multinomial or ...