Model selection: Information criteria

Описание к видео Model selection: Information criteria

WEBSITE: databookuw.com

This lecture highlights the use of information criteria to evaluate models used to fit data. In particular, the Kullback-Leibler (KL) divergence metric is discussed and both AIC and BIC criteria are developed.

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