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This master thesis investigates the role of Akaike Information Criterion (AIC) in choosing statistical models, combining theoretical foundations with practical simulations to evaluate its effectiveness. The theoretical part of the thesis shows that AIC is based on Kullback-Leibler divergence and cross-entropy, emphasizing its role in minimizing ...
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Asymptotic bootstrap corrections of AIC for linear regression models
Signal Processing, 2010Abd-Krim Seghouane
exaly
Improved AIC selection strategy for survival analysis
Computational Statistics and Data Analysis, 2008Hua Liang, Guohua Zou
exaly
American Journal of Obstetrics and Gynecology, 1981
Herbert C. Schwartz +2 more
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Herbert C. Schwartz +2 more
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Bootstrapping Log Likelihood and EIC, an Extension of AIC
Annals of the Institute of Statistical Mathematics, 1997Genshiro Kitagawa +2 more
exaly
The T cell-selective IL-2 mutant AIC284 mediates protection in a rat model of Multiple Sclerosis
Journal of Neuroimmunology, 2015Niklas Beyersdorf +2 more
exaly

