James R. Schott

Statistics and Probability · 1994–2007

A researcher in the Science corpus: 6 papers; trusts 6 researchers and is trusted by 77 researchers here, as inferred from the citation graph.

Subfields

Whom James R. Schott trusts overall

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

  1. Olivier Ledoit
  2. Arthur P. Dempster
  3. Michael Wolf
  4. Z. Bai
  5. Muni S. Srivastava
  6. Ker-Chau Li
  7. Peter Hall
  8. Yasunori Fujikoshi

Who trusts James R. Schott overall

  1. R. Dennis Cook
  2. Dennis Leung
  3. Xiangrong Yin
  4. Mathias Drton
  5. Catherine A. Lozupone
  6. Bing Li
  7. Yingcun Xia
  8. Jérôme Saracco
  9. Vera Pawlowsky-Glahn
  10. Shira Kritchman

Papers from James R. Schott's perspective

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

  1. A HIGH DIMENSIONAL TWO SAMPLE SIGNIFICANCE TEST
  2. Some hypothesis tests for the covariance matrix when the dimension is large compared to the sample size
  3. Limit of the smallest eigenvalue of a large dimensional sample covariance matrix
  4. On the distribution of the largest eigenvalue in principal components analysis
  5. Data Analysis Using Stein's Estimator and its Generalizations
  6. Eigenvalues of large sample covariance matrices of spiked population models
  7. Spectrum estimation for large dimensional covariance matrices using random matrix theory
  8. Risk and asset allocation
  9. Risk Reduction in Large Portfolios: Why Imposing the Wrong Constraints Helps
  10. Returns to Buying Winners and Selling Losers: Implications for Stock Market Efficiency

Their papers