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High Dimensional PCA: A New Model Selection Criterion
Published in arXiv preprint, 2020
This paper investigates model selection criteria in high-dimensional PCA, focusing on the Akaike Information Criterion (AIC) and its consistency under varying conditions of eigenvalue separation.
Recommended citation: Abhinav Chakraborty, Soumendu Sundar Mukherjee, Arijit Chakrabarti. (2020). "High Dimensional PCA: A New Model Selection Criterion." arXiv preprint arXiv:2011.04470.
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