Ke Wang

Statistics and Probability · with Bao · 2011–2020

A researcher in the Science corpus: 3 papers; trusts 46 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 78 citations into it; #4,120 of 12,932 by trust here, #9,233 by citations
• Mathematical Physics — 46 citations into it; #2,700 of 8,562 by trust here, #5,794 by citations
• Discrete Mathematics and Combinatorics — 35 citations into it; #509 of 2,017 by trust here, #1,251 by citations
• Computational Mechanics — 9 citations into it
• Probabilistic & Bayesian Methods — 9 citations into it
• Economics and Econometrics — 7 citations into it
• Statistical Learning Theory — 7 citations into it
• Artificial Intelligence — 6 citations into it

Whom Ke Wang trusts overall

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

1. Terence Tao
2. Van H. Vu
3. L. Erdős
4. Z. Bai
5. B. Schlein
6. L'aszl'o ErdHos
7. Horng-Tzer Yau
8. Antti Knowles
9. J. Silverstein
10. Jun Yin

Who trusts Ke Wang overall

1. Z. Bao
2. Natesh S. Pillai
3. Guangming Pan
4. Dan Romik
5. Wang Zhou
6. Debashis Paul
7. Jun Yin

Papers from Ke Wang's perspective

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

1. Eigenvalues of large sample covariance matrices of spiked population models
2. Random matrices: Universality of local eigenvalue statistics
3. Central limit theorems for eigenvalues in a spiked population model
4. The Largest Eigenvalue of Rank One Deformation of Large Wigner Matrices
5. ASYMPTOTICS OF SAMPLE EIGENSTRUCTURE FOR A LARGE DIMENSIONAL SPIKED COVARIANCE MODEL
6. The Isotropic Semicircle Law and Deformation of Wigner Matrices
7. DISTRIBUTION OF EIGENVALUES FOR SOME SETS OF RANDOM MATRICES
8. Random covariance matrices: Universality of local statistics of eigenvalues
9. CONCENTRATION OF THE SPECTRAL MEASURE FOR LARGE MATRICES
10. Universality of the Local Spacing Distribution¶in Certain Ensembles of Hermitian Wigner Matrices

Their papers

• RANDOM COVARIANCE MATRICES: UNIVERSALITY OF LOCAL STATISTICS OF EIGENVALUES UP TO THE EDGE (2011) — 49 citations
• Singular vector and singular subspace distribution for the matrix denoising model (2018) — 60 citations
• Statistical inference for principal components of spiked covariance matrices (2020) — 56 citations