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Refers to any model where a random variable is related to one or more random variables by a function that is linear in a finite number of parameters.
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Linear model vs general linear model
In a linear model, we define prediction or regression function using a linear structure as follows:
$y\approx E(y|x)=\omega_0 + \omega^\top x.$
While in a generalized linear model, we define predictio …
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Generalized linear model Gaussian distribution Linear Model
In the generalized linear model (specially meant for classification problem), the source of non-linearity is activation funtion with linear argument of the form $\omega^\top x +\omega_0$. Here, we jus …