Jamshid Namdari

Generating author description...

All published works

Action	Title	Year	Authors
+	High-Dimensional Linear Models: A Random Matrix Perspective	2020	Jamshid Namdari Debashis Paul Lili Wang

Common Coauthors

Coauthor	Papers Together
Debashis Paul	1
Lili Wang	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Robust Statistics: Theory and Methods	2006	Ricardo A. Maronna R. Douglas Martin Vı́ctor J. Yohai	1
+	Regularised Manova for High‐Dimensional Data	2015	Insha Ullah Beatrix Jones	1
+ PDF Chat	Roy’s largest root test under rank-one alternatives	2016	Iain M. Johnstone Boaz Nadler	1
+ PDF Chat	On the distribution of the largest eigenvalue in principal components analysis	2001	Iain M. Johnstone	1
+	Statistical Learning with Sparsity	2015	Trevor Hastie Robert Tibshirani Martin J. Wainwright	1
+ PDF Chat	On testing the equality of high dimensional mean vectors with unequal covariance matrices	2015	Jiang Hu Zhidong Bai Chen Wang Wei Wang	1
+ PDF Chat	Proximité et dualité dans un espace hilbertien	1965	Jean Jacques Moreau	1
+	On limiting spectral distribution of large sample covariance matrices by VARMA(p,q)	2011	Cheng Wang Baisuo Jin Miao Bai-qi	1
+ PDF Chat	A High Dimensional Two Sample Significance Test	1958	A. P. Dempster	1
+ PDF Chat	CLT for linear spectral statistics of large-dimensional sample covariance matrices	2004	Zhidong Bai Jack W. Silverstein	1
+ PDF Chat	Testing linear hypotheses in high-dimensional regressions	2013	Zhidong Bai Dandan Jiang Jianfeng Yao Shurong Zheng	1
+	Central limit theorem for linear eigenvalue statistics of the Wigner and the sample covariance random matrices	2008	Anna Lytova L. А. Pastur	1
+	Multivariate analysis of variance with fewer observations than the dimension	2006	Muni S. Srivastava Yasunori Fujikoshi	1
+	Testing the independence of sets of large-dimensional variables	2012	Dandan Jiang Zhidong Bai Shurong Zheng	1
+	Asymptotic results in canonical discriminant analysis when the dimension is large compared to the sample size	2008	Yasunori Fujikoshi Tetsuto Himeno Hirofumi Wakaki	1
+	TESTS OF SIGNIFICANCE IN MULTIVARIATE ANALYSIS	1948	C. Radhakrishna Rao	1
+ PDF Chat	Tests for multivariate analysis of variance in high dimension under non-normality	2012	Muni S. Srivastava Tatsuya Kubokawa	1
+ PDF Chat	Limiting spectral distribution of a symmetrized auto-cross covariance matrix	2014	Baisuo Jin Chen Wang Zhidong Bai K. Krishnan Nair Matthew Harding	1
+	Analysis of the Limiting Spectral Distribution of Large Dimensional Random Matrices	1995	Jack W. Silverstein Sang Il Choi	1
+	Limiting spectral distribution of large-dimensional sample covariance matrices generated by VARMA	2009	Baisuo Jin Cheng Wang Miao Bai-qi Mong‐Na Lo Huang	1
+ PDF Chat	Random matrix theory in statistics: A review	2013	Debashis Paul Alexander Aue	1
+ PDF Chat	Asymptotic Behavior of $M$-Estimators of $p$ Regression Parameters when $p^2/n$ is Large. I. Consistency	1984	Stephen Portnoy	1
+ PDF Chat	Central limit theorems for linear spectral statistics of large dimensional F-matrices	2012	Shurong Zheng	1
+ PDF Chat	Asymptotic Behavior of $M$ Estimators of $p$ Regression Parameters when $p^2 / n$ is Large; II. Normal Approximation	1985	Stephen Portnoy	1
+ PDF Chat	A Regularized Hotelling’s<i>T</i><sup>2</sup>Test for Pathway Analysis in Proteomic Studies	2011	Lin S. Chen Debashis Paul Ross L. Prentice Pei Wang	1
+	Limiting spectral distribution of a new random matrix model with dependence across rows and columns	2011	Oliver Pfaffel Eckhard Schlemm	1
+	Substitution principle for CLT of linear spectral statistics of high-dimensional sample covariance matrices with applications to hypothesis testing	2015	Shurong Zheng Zhidong Bai Jianfeng Yao	1
+	Some optimal multivariate tests	1971	S. John	1
+	On the Empirical Distribution of Eigenvalues of a Class of Large Dimensional Random Matrices	1995	Jack W. Silverstein Zhidong Bai	1
+ PDF Chat	Regularized Discriminant Analysis	1989	Jerome H. Friedman	1
+ PDF Chat	A note on testing the covariance matrix for large dimension	2005	Mélanie Birke Holger Dette	1
+	SOME PROBLEMS INVOLVING LINEAR HYPOTHESES IN MULTIVARIATE ANALYSIS	1959	C. Radhakrishna Rao	1
+ PDF Chat	Estimation of Parameters in a Linear Model	1976	C. Radhakrishna Rao	1
+ PDF Chat	Limiting Spectral Distribution of Large Sample Covariance Matrices Associated with a Class of Stationary Processes	2013	Marwa Banna Florence Merlevède	1
+ PDF Chat	Random Design Analysis of Ridge Regression	2014	Daniel Hsu Sham M. Kakade Tong Zhang	1
+	Asymptotic expansions of the distributions of the latent roots and the latent vector of the Wishart and multivariate F matrices	1976	Nariaki Sugiura	1
+	DISTRIBUTION OF EIGENVALUES FOR SOME SETS OF RANDOM MATRICES	1967	V A Marčenko L. А. Pastur	1
+	An Introduction to Multivariate Statistical Analysis	1986	Robb J. Muirhead T. W. Anderson	1
+ PDF Chat	Robust Regression: Asymptotics, Conjectures and Monte Carlo	1973	Peter J. Huber	1
+ PDF Chat	On two simple and effective procedures for high dimensional classification of general populations	2015	Zhaoyuan Li Jianfeng Yao	1
+ PDF Chat	A two-sample test for high-dimensional data with applications to gene-set testing	2010	Song Xi Chen Yingli Qin	1
+ PDF Chat	Optimal equivariant prediction for high-dimensional linear models with arbitrary predictor covariance	2013	Lee H. Dicker	1
+	On the Limiting Distribution of Roots of a Determinantal Equation	1941	P. L. Hsu	1
+ PDF Chat	A generalization of the Lindeberg principle	2006	Sourav Chatterjee	1
+	Limit Theorem for the Eigenvalues of the Sample Covariance Matrix when the Underlying Distribution is Isotropic	1986	Yanqing Yin P. R. Krishnaiah	1
+	Asymptotic Expansion of the Misclassification Probabilities of D- and A-Criteria for Discrimination from Two High Dimensional Populations Using the Theory of Large Dimensional Random Matrices	1993	Hewa Saranadasa	1
+	On limiting spectral distribution of product of two random matrices when the underlying distribution is isotropic	1986	Zhidong Bai Yanqing Yin P. R. Krishnaiah	1
+	Two sample tests for high-dimensional covariance matrices	2012	Jun Li Song Xi Chen	1
+ PDF Chat	On the sphericity test with large-dimensional observations	2013	Qinwen Wang Jianfeng Yao	1
+	Large Sample Covariance Matrices and High-Dimensional Data Analysis	2015	Jianfeng Yao Shurong Zheng Zhidong Bai	1