Large sample covariance matrices and high-dimensional data analysis
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Description
1. Introduction 2. Limiting spectral distributions 3. CLT for linear spectral statistics 4. The generalised variance and multiple correlation coefficient 5. The T2-statistic 6. Classification of data 7. Testing the general linear hypothesis 8. Testing independence of sets of variates 9. Testing hypotheses of equality of covariance matrices 10. Estimation of the population spectral distribution 11. Large-dimensional spiked population models 12. Efficient optimisation of a large financial portfolio.
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