Qinwen Wang

Statistics and Probability · 2013–2014

A researcher in the Science corpus: 2 papers; trusts 24 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Qinwen Wang trusts overall

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

  1. Iain M. Johnstone
  2. Z. Bai
  3. Olivier Ledoit
  4. A. Onatski
  5. Jianfeng Yao
  6. Jushan Bai
  7. Muni S. Srivastava
  8. J. Silverstein
  9. Florent Benaych-Georges
  10. M. Forni

Who trusts Qinwen Wang overall

  1. Jianfeng Yao
  2. Shu-rong Zheng
  3. Damien Passemier

Papers from Qinwen Wang's perspective

Ordered by how strongly the researchers Qinwen Wang 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. Determining the Number of Factors in Approximate Factor Models
  4. Some hypothesis tests for the covariance matrix when the dimension is large compared to the sample size
  5. CLT for linear spectral statistics of large-dimensional sample covariance matrices
  6. Are more data always better for factor analysis
  7. Determining the Number of Factors from Empirical Distribution of Eigenvalues (Review of Economics and Statistics)
  8. Forecasting Using Principal Components From a Large Number of Predictors
  9. Some Tests Concerning the Covariance Matrix in High Dimensional Data
  10. On the convergence of the spectral empirical process of Wigner matrices

Their papers