X. J. Jeng

Statistics and Probability · 2011

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom X. J. Jeng trusts overall

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

  1. Hui Zou
  2. Jiashun Jin
  3. David L. Donoho
  4. Peter Hall
  5. Wenguang Sun
  6. Tommaso Cai

Papers from X. J. Jeng's perspective

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

  1. The Adaptive Lasso and Its Oracle Properties
  2. High-dimensional graphs and variable selection with the Lasso
  3. Higher criticism for detecting sparse heterogeneous mixtures
  4. Oracle and Adaptive Compound Decision Rules for False Discovery Rate Control
  5. GOODNESS-OF-FIT TESTS VIA PHI-DIVERGENCES
  6. Estimation and Confidence Sets for Sparse Normal Mixtures
  7. PROPERTIES OF HIGHER CRITICISM UNDER STRONG DEPENDENCE
  8. A Space–Time Permutation Scan Statistic for Disease Outbreak Detection (PLoS Medicine)
  9. Controlling the false discovery rate: a practical and powerful approach to multiple testing
  10. A stochastic process approach to false discovery control

Their papers