In this article, we provide a random utility-based derivation of the Dirichlet-multinomial regression and propose it as a convenient alternative for dealing with overdispersed multinomial data. We ...
This is a preview. Log in through your library . Abstract Count data with means <2 are often assumed to follow a Poisson distribution. However, in many cases these kinds of data, such as number of ...
We’ll look at one dataset on Horse Colic, and then take another look at the wine data, assessing whether scaling the predictor variables makes a difference for the multinomial regression classifier.
Citations: Bockenholt, Ulf. 1999. Analyzing multiple emotions over time by autoregressive negative multinomial regression models. Journal of the American Statistical Association. 757-765.
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