AI engineering glossary · Statistics inference
What is GLM (generalised linear model)?
Generalised linear model (also called GLM): A family of models that links a linear combination of predictors to an outcome through a link function and a chosen distribution for the outcome, such as binomial for yes/no or Poisson for counts. Logistic regression is one example.
Generalised linear model: an example
Modelling daily complaint counts with a Poisson distribution and log link is a generalised linear model.
Related terms
More Statistics inference terms
- Guardrail metric
- Heteroscedasticity
- Homoscedasticity
- Instrumental variable
- Interaction term
- Jackknife
- Kolmogorov-Smirnov test
- Likelihood function
Where you learn it
Generalised linear model is part of the AI Engineering Program, which teaches it with notes, a hands-on lab and an exam. The first lesson is free.