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As an example, [[Econometrics/OrdinaryLeastSquares|OLS]] is a particular form of a GLM where: As an example, [[Statistics/OrdinaryLeastSquares|OLS]] is a particular form of a GLM where:

Generalized Linear Model

A generalized linear model (GLM) is a generalized modeling method.


Design

A GLM has three components.

  1. A distribution to characterize outcomes.

  2. A linear model to relate an outcome with one or more independent variable(s).

  3. A link function to relate the linear model with expected outcomes.

The distribution can be any PDF.

The link function generally is a non-linear transformation, such as a logarithm. It is also typically stated and notated as a function g, as in g(E[y|X]) = Xb. It could equivalently be stated like E[y|X] = g-1(Xb), which can be a more straightforward approach, but the other orientation is simpler for interpretation.

As an example, OLS is a particular form of a GLM where:

  • outcomes are assumed to be normally distributed

  • outcomes are linearly modeled like y = Xb

  • a link function of 1 is implicitly used


CategoryRicottone

Statistics/GeneralizedLinearModel (last edited 2025-01-10 14:29:41 by DominicRicottone)