# Goodness-of-fit

Does the data agree with the model?

- Calculate the distance between data and model predictions.
- Apply Bayesian methods such as likelihood estimation: likelihood of observing the data if we assume the model; the results will be a set of fitting parameters.
- …

Why don’t we always use goodness-of-fit as a measure of the goodness of a model?

- We may experience overfitting.
- The model may not be intuitive.

This is why we would like to balance it with parsimony using some measures of generalizability.

Planted:
by L Ma;

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