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Spectral Analysis of Large Dimensional Random Matrices
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, and is t...
| Clasificación: | Libro Electrónico |
|---|---|
| Autores principales: | , |
| Autor Corporativo: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
New York, NY :
Springer New York : Imprint: Springer,
2010.
|
| Edición: | 2nd ed. 2010. |
| Colección: | Springer Series in Statistics,
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| Temas: | |
| Acceso en línea: | Texto Completo |
Tabla de Contenidos:
- Wigner Matrices and Semicircular Law
- Sample Covariance Matrices and the Mar#x010D;enko-Pastur Law
- Product of Two Random Matrices
- Limits of Extreme Eigenvalues
- Spectrum Separation
- Semicircular Law for Hadamard Products
- Convergence Rates of ESD
- CLT for Linear Spectral Statistics
- Eigenvectors of Sample Covariance Matrices
- Circular Law
- Some Applications of RMT.