Program, titles, abstracts and slides (if any)

Program and abstracts

Florent Benaych-George: Finite rank perturbations of random matrices and free probability theory.
Charles Bordenave: Heavy-tailed random matrices and the Poisson Weighted Infinite Tree. [slides]
Folkmar Bornemann: Numerical Evaluation of Distribution Functions for Canonical Matrix Ensembles. [slides]
Djalil Chafaï: Spectrum of Large Random Markov Chains. [slides]
Romain Couillet: Deterministic equivalents for unitary Haar matrices. [slides]
Catherine Donati: Large deviation for the largest eigenvalue of the Hermitian Brownian motion.
Alan Edelman: A Numerical Linear Algebra View of the Tao-Vu Smallest Singular Value Limit and the SDO extension. [slides(ppt)]
Jakob Hoydis: Applications of Random Matrices to Small Cell Networks. [slides]
Jean-Paul Ibrahim: Large deviation properties for some perturbated sample covariance matrices.
Malika Kharouf: A Central Limit Theorem for Information-Theoretic statistics of Gram random matrices. [slides]
Oleksiy Khorunzhiy: On sufficient and necessary condition for edge universality in wigner ensemble of random matrices.
Olivier Ledoit: Eigenvectors of some large sample covariance matrix ensembles. [slides]
Philippe Loubaton: Exact separation of the eigenvalues of large dimension complex Gaussian Information plus Noise model. [slides]
Mylène Maïda: Large deviations of extreme eigenvalues of deformed random matrices and performance analysis. [slides]
Camille Mâle: Norm of Polynomials in Large Random Matrices. [slides]
Boaz Nadler: Non-parametric Signal Detection and RMT. [slides]
Alain Rouault: Truncations of Haar unitary matrices and bivariate Brownian bridge. [slides]
Francisco Rubio: A CLT on the SNR of the diagonally loaded beamformer. [slides]
Øyvind Ryan: On general criteria for when the spectrum of a combination of random matrices depends only on the spectra of the components. [slides]
Dietrich von Rosen: High-dimensional analysis and estimation in general multivariate linear models. [slides]
Jack Silverstein: Estimating Population Eigenvalues From Large Dimensional Sample Covariance Matrices. [slides]
Pascal Vallet: Eigenspace estimation for source localization using large random matrices. [slides]
Jian-Feng Yao: On corrections of classical multivariate tests for high-dimensional data}. [slides]
Lu Wei: On the Demmel condition number distribution with applications in performance analysis of wireless communication systems. [slides]