Pascal Vallet

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All published works

Action	Title	Year	Authors
+	Correlation tests and sample spectral coherence matrix in the high-dimensional regime	2025	Philippe Loubaton Alexis Rosuel Pascal Vallet
+ PDF Chat	A New Statistic for Testing Covariance Equality in High-Dimensional Gaussian Low-Rank Models	2024	Rémi Beisson Pascal Vallet Audrey Giremus Guillaume Ginolhac
+ PDF Chat	On the asymptotic distribution of the maximum sample spectral coherence of Gaussian time series in the high dimensional regime	2022	Philippe Loubaton Alexis Rosuel Pascal Vallet
+	Change Detection in The Covariance Structure of High-Dimensional Gaussian Low-Rank Models	2021	Rémi Beisson Pascal Vallet Audrey Giremus Guillaume Ginolhac
+ PDF Chat	On the Detection of Low-Rank Signal in the Presence of Spatially Uncorrelated Noise: A Frequency Domain Approach	2021	Alexis Rosuel Philippe Loubaton Pascal Vallet Xavier Mestre
+ PDF Chat	On The Frequency Domain Detection of High Dimensional Time Series	2020	Alexis Rosuel Pascal Vallet P. Loubaton Xavier Mestre
+ PDF Chat	On the Resolution Probability of Conditional and Unconditional Maximum Likelihood DoA Estimation	2020	Xavier Mestre Pascal Vallet Philippe Loubaton
+	An Improved Low Rank Detector in the High Dimensional Regime	2019	Pascal Vallet Guillaume Ginolhac Frédéric Pascal Philippe Forster
+ PDF Chat	Correlation Tests and Linear Spectral Statistics of the Sample Correlation Matrix	2017	Xavier Mestre Pascal Vallet
+ PDF Chat	Performance Analysis of an Improved MUSIC DoA Estimator	2015	Pascal Vallet Xavier Mestre Philippe Loubaton
+ PDF Chat	Extended GLRT detectors of correlation and sphericity: The undersampled regime	2015	Xavier Mestre Pascal Vallet
+ PDF Chat	Asymptotic analysis of linear spectral statistics of the sample coherence matrix	2015	Xavier Mestre Pascal Vallet Walid Hachem
+ PDF Chat	Performance analysis of spatial smoothing schemes in the context of large arrays	2015	Gia-Thuy Pham Philippe Loubaton Pascal Vallet
+	A CLT for an improved subspace estimator with observations of increasing dimensions	2015	Pascal Vallet Xavier Mestre Philippe Loubaton
+	A CLT for an improved subspace estimator with observations of increasing dimensions	2015	Pascal Vallet Xavier Mestre Philippe Loubaton
+	Correlation Test for High Dimensional Data with Application to Signal Detection in Sensor Networks	2014	Xavier Mestre Pascal Vallet Walid Hachem
+ PDF Chat	On bilinear forms based on the resolvent of large random matrices	2013	Walid Hachem Philippe Loubaton Jamal Najım Pascal Vallet
+	A subspace estimator for fixed rank perturbations of large random matrices	2012	Walid Hachem Philippe Loubaton Xavier Mestre Jamal Najım Pascal Vallet
+	On the consistency of likelihood penalization methods in large sensor networks	2012	Pascal Vallet Philippe Loubaton Xavier Mestre
+ PDF Chat	Improved Subspace Estimation for Multivariate Observations of High Dimension: The Deterministic Signals Case	2012	Pascal Vallet Philippe Loubaton Xavier Mestre
+ PDF Chat	LARGE INFORMATION PLUS NOISE RANDOM MATRIX MODELS AND CONSISTENT SUBSPACE ESTIMATION IN LARGE SENSOR NETWORKS	2011	Walid Hachem Philippe Loubaton Xavier Mestre Jamal Najım Pascal Vallet
+	Matrices aléatoires et applications au traitement statistique du signal	2011	Pascal Vallet
+ PDF Chat	Random matrices and applications to statistical signal processing	2011	Pascal Vallet
+	Large information plus noise random matrix models and consistent subspace estimation in large sensor networks	2011	Walid Hachem Philippe Loubaton Xavier Mestre Jamal Najım Pascal Vallet
+	A Subspace Estimator for Fixed Rank Perturbations of Large Random Matrices	2011	Walid Hachem Philippe Loubaton Xavier Mestre Jamal Najım Pascal Vallet
+	An improved music algorithm based on low rank perturbation of large random matrices	2011	Pascal Vallet Walid Hachem Philippe Loubaton Xavier Mestre Jamal Najım
+	Asymptotic analysis of a consistent subspace estimator for observations of increasing dimension	2011	Xavier Mestre Pascal Vallet Philippe Loubaton Walid Hachem
+ PDF Chat	Almost Sure Localization of the Eigenvalues in a Gaussian Information Plus Noise Model. Application to the Spiked Models.	2011	Philippe Loubaton Pascal Vallet
+	A Subspace Estimator for Fixed Rank Perturbations of Large Random Matrices	2011	Walid Hachem Philippe Loubaton Xavier Mestre Jamal Najım Pascal Vallet
+	Large information plus noise random matrix models and consistent subspace estimation in large sensor networks	2011	Walid Hachem Philippe Loubaton Xavier Mestre Jamal Najım Pascal Vallet
+	On bilinear forms based on the resolvent of large random matrices	2010	Walid Hachem Philippe Loubaton Jamal Najım Pascal Vallet
+	Almost sure localization of the eigenvalues in a gaussian information plus noise model. Applications to the spiked models	2010	Philippe Loubaton Pascal Vallet
+	On bilinear forms based on the resolvent of large random matrices	2010	Walid Hachem Philippe Loubaton Jamal Najım Pascal Vallet

Common Coauthors

Coauthor	Papers Together
Philippe Loubaton	23
Xavier Mestre	20
Jamal Najım	10
Walid Hachem	7
Walid Hachem	5
Alexis Rosuel	4
Guillaume Ginolhac	3
Audrey Giremus	2
Rémi Beisson	2
Fréderic Pascal	1
P. Loubaton	1
Gia-Thuy Pham	1
Walid Hachem	1
Philippe Forster	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	No eigenvalues outside the support of the limiting spectral distribution of large-dimensional sample covariance matrices	1998	Zhidong Bai Jack W. Silverstein	15
+	Strong Convergence of the Empirical Distribution of Eigenvalues of Large Dimensional Random Matrices	1995	Jack W. Silverstein	12
+	The eigenvalues and eigenvectors of finite, low rank perturbations of large random matrices	2011	Florent Benaych-Georges Raj Rao Nadakuditi	11
+ PDF Chat	Phase transition of the largest eigenvalue for nonnull complex sample covariance matrices	2005	Jinho Baik Gérard Ben Arous Sandrine Péché	10
+	Improved Estimation of Eigenvalues and Eigenvectors of Covariance Matrices Using Their Sample Estimates	2008	Xavier Mestre	10
+ PDF Chat	LARGE INFORMATION PLUS NOISE RANDOM MATRIX MODELS AND CONSISTENT SUBSPACE ESTIMATION IN LARGE SENSOR NETWORKS	2011	Walid Hachem Philippe Loubaton Xavier Mestre Jamal Najım Pascal Vallet	10
+ PDF Chat	Almost Sure Localization of the Eigenvalues in a Gaussian Information Plus Noise Model. Application to the Spiked Models.	2011	Philippe Loubaton Pascal Vallet	9
+ PDF Chat	Exact Separation of Eigenvalues of Large Dimensional Sample Covariance Matrices	1999	Zhidong Bai Jack W. Silverstein	9
+ PDF Chat	On the distribution of the largest eigenvalue in principal components analysis	2001	Iain M. Johnstone	9
+	The singular values and vectors of low rank perturbations of large rectangular random matrices	2012	Florent Benaych-Georges Raj Rao Nadakuditi	9
+	Eigenvalues of large sample covariance matrices of spiked population models	2005	Jinho Baik Jack W. Silverstein	9
+	On the Asymptotic Behavior of the Sample Estimates of Eigenvalues and Eigenvectors of Covariance Matrices	2008	Xavier Mestre	9
+ PDF Chat	Deterministic equivalents for certain functionals of large random matrices	2007	Walid Hachem Philippe Loubaton Jamal Najım	8
+ PDF Chat	A new application of random matrices: Ext(C<sub>red</sub><sup>∗</sup>(F<sub>2</sub>)) is not a group	2005	Uffe Haagerup Steen Thorbjørnsen	8
+ PDF Chat	A Simple Approach to the Global Regime of Gaussian Ensembles of Random Matrices	2005	L. А. Pastur	8
+	On the empirical distribution of eigenvalues of large dimensional information-plus-noise-type matrices	2006	R. Brent Dozier Jack W. Silverstein	8
+ PDF Chat	Improved Subspace Estimation for Multivariate Observations of High Dimension: The Deterministic Signals Case	2012	Pascal Vallet Philippe Loubaton Xavier Mestre	8
+ PDF Chat	CLT for linear spectral statistics of large-dimensional sample covariance matrices	2004	Zhidong Bai Jack W. Silverstein	8
+	DISTRIBUTION OF EIGENVALUES FOR SOME SETS OF RANDOM MATRICES	1967	V A Marčenko L. А. Pastur	8
+ PDF Chat	A New Approach for Mutual Information Analysis of Large Dimensional Multi-Antenna Channels	2008	Walid Hachem Oleksiy Khorunzhiy Philippe Loubaton Jamal Najım L. А. Pastur	7
+	An inequality for the multivariate normal distribution	1982	Louis H. Y. Chen	7
+ PDF Chat	Performance of Statistical Tests for Single-Source Detection Using Random Matrix Theory	2011	Paola Bianchi Mérouane Debbah Marcello Maida Jamal Najım	6
+	Analysis of the limiting spectral distribution of large dimensional information-plus-noise type matrices	2007	R. Brent Dozier Jack W. Silverstein	6
+ PDF Chat	Central limit theorems for eigenvalues in a spiked population model	2008	Zhidong Bai Jianfeng Yao	6
+ PDF Chat	On the Capacity Achieving Covariance Matrix for Rician MIMO Channels: An Asymptotic Approach	2010	Julien Dumont Walid Hachem Samson Lasaulce Philippe Loubaton Jamal Najım	6
+	The estimation of frequency	1973	E. J. Hannan	6
+	An Introduction to Multivariate Statistical Analysis	1986	Robb J. Muirhead T. W. Anderson	6
+ PDF Chat	Sample Eigenvalue Based Detection of High-Dimensional Signals in White Noise Using Relatively Few Samples	2008	Raj Rao Nadakuditi Alan Edelman	5
+ PDF Chat	The largest eigenvalues of finite rank deformation of large Wigner matrices: Convergence and nonuniversality of the fluctuations	2009	Mireille Capitaine Catherine Donati-Martin Delphine Féral	5
+	An improved music algorithm based on low rank perturbation of large random matrices	2011	Pascal Vallet Walid Hachem Philippe Loubaton Xavier Mestre Jamal Najım	5
+ PDF Chat	Nonparametric Detection of Signals by Information Theoretic Criteria: Performance Analysis and an Improved Estimator	2010	Boaz Nadler	4
+	Non-Parametric Detection of the Number of Signals: Hypothesis Testing and Random Matrix Theory	2009	Shira Kritchman Boaz Nadler	4
+	Real and Complex Analysis.	1987	G. A. Garreau Walter Rudin	4
+ PDF Chat	Distributions of Matrix Variates and Latent Roots Derived from Normal Samples	1964	A. T. James	4
+	Introduction to Multivariate Statistical Analysis.	1959	William G. Madow T. W. Anderson	4
+ PDF Chat	Strong asymptotic freeness for Wigner and Wishart matrices	2007	Catherine Donati-Martin Mireille Capitaine	4
+	A subspace estimator for fixed rank perturbations of large random matrices	2012	Walid Hachem Philippe Loubaton Xavier Mestre Jamal Najım Pascal Vallet	4
+	Analysis of the Limiting Spectral Distribution of Large Dimensional Random Matrices	1995	Jack W. Silverstein Sang Il Choi	4
+ PDF Chat	Performance Analysis of an Improved MUSIC DoA Estimator	2015	Pascal Vallet Xavier Mestre Philippe Loubaton	4
+	ASYMPTOTICS OF SAMPLE EIGENSTRUCTURE FOR A LARGE DIMENSIONAL SPIKED COVARIANCE MODEL	2007	Debashis Paul	4
+ PDF Chat	Locally Most Powerful Invariant Tests for Correlation and Sphericity of Gaussian Vectors	2012	David Ramírez Javier Vía Ignacio Santamarı́a Louis L. Scharf	3
+ PDF Chat	On asymptotics of eigenvectors of large sample covariance matrix	2007	Zhidong Bai Baojun Miao Guangming Pan	3
+	Aspects of Multivariate Statistical Theory	1984	Leon Jay Gleser Robb J. Muirhead	3
+	Robust spiked random matrices and a robust G-MUSIC estimator	2015	Romain Couillet	3
+	An Introduction to Multivariate Statistical Analysis.	1985	C. J. Skinner T. W. Anderson	3
+ PDF Chat	Correlation Tests and Linear Spectral Statistics of the Sample Correlation Matrix	2017	Xavier Mestre Pascal Vallet	3
+	On the Empirical Distribution of Eigenvalues of a Class of Large Dimensional Random Matrices	1995	Jack W. Silverstein Zhidong Bai	3
+ PDF Chat	Central limit theorems for eigenvalues of deformations of Wigner matrices	2012	Mireille Capitaine Catherine Donati-Martin Delphine Féral	3
+ PDF Chat	On bilinear forms based on the resolvent of large random matrices	2013	Walid Hachem Philippe Loubaton Jamal Najım Pascal Vallet	3
+ PDF Chat	A Limit Theorem for the Norm of Random Matrices	1980	Stuart Geman	3