Long Feng
Statistics and Probability · 2014–2016
A researcher in the Science corpus: 3 papers; trusts 18 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 24 citations into it; #11,890 of 12,932 by trust here, #11,487 by citations
- Molecular Biology — 8 citations into it
- Artificial Intelligence — 6 citations into it
- Environmental Engineering — 5 citations into it
Whom Long Feng trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Muni S. Srivastava
- Hannu Oja
- Z. Bai
- Ronald H. Randles
- Arthur P. Dempster
- Tommaso Cai
- Songxi Chen
- Marc Hallin
- Peter J. Bickel
- Thomas P. Hettmansperger
Who trusts Long Feng overall
Papers from Long Feng's perspective
Ordered by how strongly the researchers Long Feng trusts endorse each paper. Same corpus, a different order for every researcher.
- EFFECT OF HIGH DIMENSION: BY AN EXAMPLE OF A TWO SAMPLE PROBLEM
- Regularized estimation of large covariance matrices
- A HIGH DIMENSIONAL TWO SAMPLE SIGNIFICANCE TEST
- A test for the mean vector with fewer observations than the dimension
- Some Tests Concerning the Covariance Matrix in High Dimensional Data
- A Simpler, Affine-Invariant, Multivariate, Distribution-Free Sign Test
- Adaptive Thresholding for Sparse Covariance Matrix Estimation
- On the distribution of the largest eigenvalue in principal components analysis
- Testing for complete independence in high dimensions
- A practical affine equivariant multivariate median
Their papers
- TWO-SAMPLE BEHRENS-FISHER PROBLEM FOR HIGH-DIMENSIONAL DATA (2015) — 65 citations
- Multivariate sign-based high-dimensional tests for sphericity (2014) — 75 citations
- Multivariate-Sign-Based High-Dimensional Tests for the Two-Sample Location Problem (2016) — 70 citations