<p><P>The aim of the book is to introduce basic concepts, main results, and widely applied mathematical tools in the spectral analysis of large dimensional random matrices. The core of the book focuses on results established under moment conditions on random variables using probabilistic methods, an
Spectral analysis of large dimensional random matrices
โ Scribed by Zhidong Bai, Jack W. Silverstein (auth.)
- Publisher
- Springer-Verlag New York
- Year
- 2010
- Tongue
- English
- Leaves
- 560
- Series
- Springer Series in Statistics
- Edition
- 2
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Subjects
Statistical Theory and Methods
๐ SIMILAR VOLUMES
<p><P>The aim of the book is to introduce basic concepts, main results, and widely applied mathematical tools in the spectral analysis of large dimensional random matrices. The core of the book focuses on results established under moment conditions on random variables using probabilistic methods, an
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 mome
Random matrix theory is a wide and growing field with a variety of concepts, results, and techniques and a vast range of applications in mathematics and the related sciences. The book, written by well-known experts, offers beginners a fairly balanced collection of basic facts and methods (Part 1 on