The Akaike information criterion, AIC, is a widely known and extensively used tool for statistical model selection. AIC serves as an asymptotically unbiased estimator of a variant of Kullback's directed divergence between the true model and a ΓΏtted approximating model. The directed divergence is an
β¦ LIBER β¦
A nonparametric assessment of model adequacy based on Kullback-Leibler divergence
β Scribed by Ping-Hung Hsieh
- Book ID
- 118810670
- Publisher
- Springer US
- Year
- 2011
- Tongue
- English
- Weight
- 542 KB
- Volume
- 23
- Category
- Article
- ISSN
- 0960-3174
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