Tiefeng Jiang

Statistics and Probability · 2003–2014

A researcher in the Science corpus: 10 papers; trusts 47 researchers and is trusted by 44 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 65 citations into it; #810 of 12,932 by trust here, #1,806 by citations
• Mathematical Physics — 27 citations into it; #283 of 8,562 by trust here, #893 by citations
• Discrete Mathematics and Combinatorics — 15 citations into it; #137 of 2,017 by trust here, #406 by citations
• Statistical and Nonlinear Physics — 13 citations into it
• Computational Theory and Mathematics — 12 citations into it
• Applied Mathematics — 11 citations into it
• Artificial Intelligence — 10 citations into it
• Geometry and Topology — 9 citations into it; #3,128 of 7,422 by trust here, #2,963 by citations

Whom Tiefeng Jiang trusts overall

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

1. Iain M. Johnstone
2. Z. Bai
3. David L. Donoho
4. Peter J. Forrester
5. Arthur P. Dempster
6. Wang Zhou
7. James R. Schott
8. Michel Ledoux
9. Persi Diaconis
10. Neil O'Connell

Who trusts Tiefeng Jiang overall

1. Debashis Paul
2. Wang Zhou
3. Sourav Chatterjee
4. Elizabeth Meckes
5. Noureddine El Karoui
6. Mathias Drton
7. Alexander Aue
8. Keke Chen
9. Terence Tao
10. Z. Bao

Papers from Tiefeng Jiang's perspective

Ordered by how strongly the researchers Tiefeng Jiang 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. CLT for linear spectral statistics of large-dimensional sample covariance matrices
3. Some hypothesis tests for the covariance matrix when the dimension is large compared to the sample size
4. A HIGH DIMENSIONAL TWO SAMPLE SIGNIFICANCE TEST
5. Random Matrices
6. Economic inequality and burden-sharing in the provision of local environmental quality
7. EFFECT OF HIGH DIMENSION: BY AN EXAMPLE OF A TWO SAMPLE PROBLEM
8. Decoding by linear programming
9. METHODOLOGIES IN SPECTRAL ANALYSIS OF LARGE DIMENSIONAL RANDOM MATRICES, A REVIEW
10. Matrix models for beta ensembles

Their papers

• The asymptotic distributions of the largest entries of sample correlation matrices (2004) — 160 citations
• How many entries of a typical orthogonal matrix can be approximated by independent normals (2006) — 136 citations
• Approximation of Haar distributed matrices and limiting distributions of eigenvalues of Jacobi ensembles (2009) — 70 citations
• Spectral measure of large random Hankel, Markov and Toeplitz matrices (2003) — 269 citations
• SPECTRAL DISTRIBUTIONS OF ADJACENCY AND LAPLACIAN MATRICES OF RANDOM GRAPHS (2010) — 121 citations
• Likelihood Ratio Tests for High‐Dimensional Normal Distributions (2013) — 149 citations
• Maxima of entries of Haar distributed matrices (2005) — 59 citations
• Spectral Radii of Large Non-Hermitian Random Matrices (2014) — 46 citations
• Approximation of Rectangular Beta-Laguerre Ensembles and Large Deviations (2013) — 57 citations
• The limiting distributions of eigenvalues of sample correlation matrices (2004) — 91 citations