Linear Models

Linear models are very useful for baseline models.

2 Poisson Regression

Published:
Category: { Machine Learning }
Summary: Poisson regression is a generalized linear model for count data. To model a dataset that is generated from a [[Poisson distribution]] Poisson Process , we only need to model the mean μ as it is the only parameters. The simplest model we can have for some given features X is a linear model. However, for count data, the effects of the predictors are often multiplicative. The next simplest model we can have is μ=exp(βX). The exp makes sure that the mean is positive as this is required for count data.
Pages: 3

1 Linear Methods

Published:
Category: { Machine Learning }
Summary: linear methods
Pages: 3