Raj Rao Nadakuditi

Statistics and Probability · 2009–2011

A researcher in the Science corpus: 2 papers; trusts 21 researchers and is trusted by 44 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 37 citations into it; #1,085 of 12,932 by trust here, #2,023 by citations
• Mathematical Physics — 20 citations into it; #438 of 8,562 by trust here, #893 by citations
• Discrete Mathematics and Combinatorics — 12 citations into it; #59 of 2,017 by trust here, #122 by citations
• Geometry and Topology — 5 citations into it
• Probabilistic & Bayesian Methods — 5 citations into it
• Statistical and Nonlinear Physics — 5 citations into it

Whom Raj Rao Nadakuditi trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Florent Benaych-Georges
2. Roger A. Horn
3. Michel Ledoux
4. Jinho Baik
5. Boaz Nadler
6. Delphine F'eral
7. S. P'ech'e
8. Charles R. Johnson
9. Michael E. Tipping
10. Z. Bai

Who trusts Raj Rao Nadakuditi overall

1. Charles Bordenave
2. Xiucai Ding
3. Florent Benaych-Georges
4. Z. Bao
5. Antti Knowles
6. Alex Bloemendal
7. F. Augeri
8. Zhenyu A. Liao
9. M. Capitaine
10. Matan Gavish

Papers from Raj Rao Nadakuditi's perspective

Ordered by how strongly the researchers Raj Rao Nadakuditi trusts endorse each paper. Same corpus, a different order for every researcher.

1. Eigenvalues of large sample covariance matrices of spiked population models
2. Phase transition of the largest eigenvalue for nonnull complex sample covariance matrices
3. Matrix analysis
4. An Introduction to Multivariate Statistical Analysis
5. The Largest Eigenvalue of Rank One Deformation of Large Wigner Matrices
6. Tracy–Widom limit for the largest eigenvalue of a large class of complex sample covariance matrices
7. A Fourier view on the R-transform and related asymptotics of spherical integrals
8. Probabilistic Principal Component Analysis
9. Finite sample approximation results for principal component analysis: a matrix perturbation approach
10. Spectral Analysis of Large Dimensional Random Matrices

Their papers

• The eigenvalues and eigenvectors of finite, low rank perturbations of large random matrices (2009) — 587 citations
• The singular values and vectors of low rank perturbations of large rectangular random matrices (2011) — 388 citations