£32.00
Spectral Theory Of Large Dimensional Random Matrices And Its Applications To Wireless Communications And Finance Statistics: Random Matrix Theory And Its Applications
Part 1: Spectral theory of large dimensional random matrices
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.
Part 2: Applications to wireless communications
In the second part, we introduce some basic examples of applications of random matrix theory to wireless communications.
Part 3: Applications to finance
In the third part, we present some examples of Applications to statistical finance.
