
doi: 10.1214/10-aihp404
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Random matrices (algebraic aspects), Statistics of extreme values; tail inference, large dimensional random matrix, Large dimensional random matrix, secondary 60B10, linear process, Primary 60B20, Spectral density, Limit theorems in probability theory, Laplace asymptotics, 60F05, k-circulant matrix, Convergence of probability measures, Normal approximation, Spectral radius, Tail of product, 62E20, spectral radius, Asymptotic distribution theory in statistics, eigenvalues, 15A52, Eigenvalues, Central limit and other weak theorems, Linear process, Random matrices (probabilistic aspects), normal approximation, Gumbel distribution, tail of product, spectral density, 60F99, 62G32
Random matrices (algebraic aspects), Statistics of extreme values; tail inference, large dimensional random matrix, Large dimensional random matrix, secondary 60B10, linear process, Primary 60B20, Spectral density, Limit theorems in probability theory, Laplace asymptotics, 60F05, k-circulant matrix, Convergence of probability measures, Normal approximation, Spectral radius, Tail of product, 62E20, spectral radius, Asymptotic distribution theory in statistics, eigenvalues, 15A52, Eigenvalues, Central limit and other weak theorems, Linear process, Random matrices (probabilistic aspects), normal approximation, Gumbel distribution, tail of product, spectral density, 60F99, 62G32
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