Information Criteria and Statistical Modeling
数理统计学Winner of the 2009 Japan Statistical Association Publication Prize.
The Akaike information criterion (AIC) derived as an estimator of the Kullback-Leibler information discrepancy provides a useful tool for evaluating statistical models, and numerous successful applications of t