Loss#

The loss, or also called “cost”, describes the disagreement between the data and the model. Most commonly, the likelihood (or, to be precise, the negative log likelihood) is used, as the maximum likelihood estimation provides many beneficial characteristics.

Binned losses require the PDF and data to be binned as well.

Extended losses take the expected count (“yield”) of a PDF into account and require the PDF to be extended in the first place.