Regularized Information Loss for Improved Model Selection
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-1767-9_58
Reference37 articles.
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3. Bai Z, Choi KP, Fujikoshi Y (2018) Consistency of AIC and BIC in estimating the number of significant components in high-dimensional principal component analysis. Ann Stat 46(3):1050–1076
4. Barron AR (2020) Predicted squared error: a criterion for automatic model selection. In: Self-organizing methods in modeling. CRC Press, pp 87–103
5. Bozdogan H (1987) Model selection and Akaike’s information criterion (AIC): the general theory and its analytical extensions. Psychometrika 52(3):345–370
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