Shiyun Chen

Statistics and Probability · 2016

A researcher in the Science corpus: 1 paper; trusts 21 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Shiyun Chen trusts overall

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

  1. Michael A. Newton
  2. Alexandre B. Tsybakov
  3. Yoav Benjamini
  4. David L. Donoho
  5. Christopher R. Genovese
  6. Wenguang Sun
  7. Yu. I. Ingster
  8. Jiashun Jin
  9. Nicolai Meinshausen
  10. Malgorzata Bogdan

Papers from Shiyun Chen's perspective

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

  1. Controlling the false discovery rate: a practical and powerful approach to multiple testing
  2. Operating characteristics and extensions of the false discovery rate procedure
  3. Adapting to unknown sparsity by controlling the false discovery rate
  4. Higher criticism for detecting sparse heterogeneous mixtures
  5. The optimal discovery procedure: a new approach to simultaneous significance testing
  6. Oracle and Adaptive Compound Decision Rules for False Discovery Rate Control
  7. Large-Scale Simultaneous Hypothesis Testing: The Choice of a Null Hypothesis
  8. Estimating the Null and the Proportion of Nonnull Effects in Large-Scale Multiple Comparisons
  9. Nonparametric Goodness-of-Fit Testing Under Gaussian Models
  10. Introduction to Nonparametric Estimation

Their papers