Naijun Sha

Statistics and Probability · 2003–2014

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Naijun Sha trusts overall

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

  1. John K. Kruschke
  2. Alan E. Gelfand
  3. Jim Albert
  4. Sandrine Dudoit

Who trusts Naijun Sha overall

  1. Nicolai Meinshausen

Papers from Naijun Sha's perspective

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

  1. Sampling-Based Approaches to Calculating Marginal Densities
  2. Bayesian analysis of binary and polychotomous response data
  3. Bayesian data analysis.
  4. Distinct types of diffuse large B-cell lymphoma identified by gene expression profiling (Nature)
  5. STATISTICAL METHODS FOR IDENTIFYING DIFFERENTIALLY EXPRESSED GENES IN REPLICATED cDNA MICROARRAY EXPERIMENTS
  6. Gene-expression profiles in hereditary breast cancer. (New England Journal of Medicine)
  7. Adaptive Rejection Sampling for Gibbs Sampling
  8. Classification and diagnostic prediction of cancers using gene expression profiling and artificial neural networks
  9. Bayesian Methods for Nonlinear Classification and Regression (Technometrics)
  10. Simulation of truncated normal variables

Their papers