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Spectral Theory Of Large Dimensional Random Matrices And Its Applications To Wireless Communications And Finance Statistics: Random Matrix Theory And Its Applications (Hardcover)
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Spectral Theory Of Large Dimensional Random Matrices And Its Applications To Wireless Communications And Finance Statistics: Random Matrix Theory And Its Applications (Hardcover)
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The book contains three parts: Spectral theory of large dimensional
random matrices; Applications to wireless communications; and
Applications to finance. In the first part, we introduce some basic
theorems of spectral analysis of large dimensional random matrices
that are obtained under finite moment conditions, such as the
limiting spectral distributions of Wigner matrix and that of large
dimensional sample covariance matrix, limits of extreme
eigenvalues, and the central limit theorems for linear spectral
statistics. In the second part, we introduce some basic examples of
applications of random matrix theory to wireless communications and
in the third part, we present some examples of Applications to
statistical finance.
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