Jingming Wang

Statistics and Probability · 2020

A researcher in the Science corpus: 1 paper; trusts 20 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 37 citations into it
• Mathematical Physics — 20 citations into it
• Discrete Mathematics and Combinatorics — 15 citations into it
• Economics and Econometrics — 7 citations into it
• Computational Mechanics — 5 citations into it

Whom Jingming Wang trusts overall

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

1. A. Onatski
2. Florent Benaych-Georges
3. Jushan Bai
4. Ian T. Jolliffe
5. Zongming Ma
6. Iain M. Johnstone
7. Antti Knowles
8. Serena Ng
9. Delphine F'eral
10. Raj Rao Nadakuditi

Papers from Jingming Wang's perspective

Ordered by how strongly the researchers Jingming 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. ASYMPTOTICS OF SAMPLE EIGENSTRUCTURE FOR A LARGE DIMENSIONAL SPIKED COVARIANCE MODEL
3. Finite sample approximation results for principal component analysis: a matrix perturbation approach
4. Central limit theorems for eigenvalues in a spiked population model
5. The Largest Eigenvalue of Rank One Deformation of Large Wigner Matrices
6. DISTRIBUTION OF EIGENVALUES FOR SOME SETS OF RANDOM MATRICES
7. On Consistency and Sparsity for Principal Components Analysis in High Dimensions (Journal of the American Statistical Association)
8. The largest eigenvalues of finite rank deformation of large Wigner matrices: Convergence and nonuniversality of the fluctuations.
9. Sparse Principal Component Analysis and Iterative Thresholding
10. The eigenvalues and eigenvectors of finite, low rank perturbations of large random matrices

Their papers

• Statistical inference for principal components of spiked covariance matrices (2020) — 56 citations