Guangming Pan

Statistics and Probability · 2007–2017

A researcher in the Science corpus: 8 papers; trusts 42 researchers and is trusted by 21 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 108 citations into it; #2,724 of 12,932 by trust here, #2,965 by citations
• Mathematical Physics — 59 citations into it; #2,990 of 8,562 by trust here, #2,582 by citations
• Discrete Mathematics and Combinatorics — 47 citations into it; #422 of 2,017 by trust here, #427 by citations
• Artificial Intelligence — 19 citations into it; #16,534 of 35,345 by trust here, #25,040 by citations
• Economics and Econometrics — 12 citations into it
• Probabilistic & Bayesian Methods — 12 citations into it
• Applied Mathematics — 8 citations into it
• Computational Mathematics — 6 citations into it

Whom Guangming Pan trusts overall

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

1. Z. Bai
2. A. Onatski
3. L. Erdős
4. Noureddine El Karoui
5. Iain M. Johnstone
6. Jun Yin
7. Horng-Tzer Yau
8. Debashis Paul
9. Tiefeng Jiang
10. Jushan Bai

Who trusts Guangming Pan overall

1. Xiucai Ding
2. Z. Bao
3. Ji Oon Lee
4. Mathias Drton
5. Natesh S. Pillai
6. Shu-rong Zheng
7. Jianqing Fan
8. Jianfeng Yao
9. Jun Yin
10. Qinwen Wang

Papers from Guangming Pan's perspective

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

1. On the distribution of the largest eigenvalue in principal components analysis
2. Eigenvalues of large sample covariance matrices of spiked population models
3. ASYMPTOTICS OF SAMPLE EIGENSTRUCTURE FOR A LARGE DIMENSIONAL SPIKED COVARIANCE MODEL
4. Phase transition of the largest eigenvalue for nonnull complex sample covariance matrices
5. Tracy–Widom limit for the largest eigenvalue of a large class of complex sample covariance matrices
6. Random Matrices
7. Orthogonal Polynomials and Random Matrices: A Riemann-Hilbert Approach
8. Central limit theorems for eigenvalues in a spiked population model
9. Limits of spiked random matrices I (Probability theory and related fields)
10. Wegner estimate and level repulsion for Wigner random matrices

Their papers

• High dimensional correlation matrices: the central limit theorem and its applications (2017) — 76 citations
• Limiting laws for divergent spiked eigenvalues and largest nonspiked eigenvalue of sample covariance matrices (2017) — 87 citations
• Tracy-Widom law for the extreme eigenvalues of sample correlation matrices (2011) — 56 citations
• Canonical correlation coefficients of high-dimensional Gaussian vectors: Finite rank case (2017) — 50 citations
• Central limit theorem for signal-to-interference ratio of reduced rank linear receiver (2008) — 96 citations
• On asymptotics of eigenvectors of large sample covariance matrix (2007) — 154 citations
• Independence test for high dimensional data based on regularized canonical correlation coefficients (2015) — 54 citations
• Universality for the largest eigenvalue of sample covariance matrices with general population (2013) — 105 citations