As the name suggested, generalized linear model (GLM) is a generalization of the linear regression model. In a classic linear model, with input $latex X$, the output $latex Y$ is modeled by $latex Y|X \sim \mathcal{N} (B X, \sigma^2 I)$. GLM extends the model in two ways, first instead of having the mean as simple…

## Introduction to generalized linear model

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