Statistical Inference
The Akaike Information Criterion (AIC) is a statistical measure used for model selection, assessing how well a model explains the data while penalizing for complexity. It helps identify the best-fitting model among a set of candidates, balancing goodness of fit with the number of parameters used, which is crucial when working with contingency tables and log-linear models to ensure that overfitting is avoided.
congrats on reading the definition of AIC - Akaike Information Criterion. now let's actually learn it.