Ming-Chung Yang

Statistics and Probability · 2001–2010

A researcher in the Science corpus: 2 papers; trusts 7 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Ming-Chung Yang trusts overall

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

  1. Hemant Ishwaran
  2. Gitta H. Lubke
  3. Ludwig Fahrmeir
  4. B. Muthén
  5. Matthew West
  6. Lancelot F. James
  7. Alexander Raach
  8. Andrew Gelman
  9. David B. Dunson
  10. Hong-Tu Zhu

Who trusts Ming-Chung Yang overall

  1. Augustin Kelava
  2. I. Campbell
  3. Benjamin Nagengast
  4. Holger Brandt

Papers from Ming-Chung Yang's perspective

Ordered by how strongly the researchers Ming-Chung Yang trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Bayesian Density Estimation and Inference Using Mixtures
  2. Investigating population heterogeneity with factor mixture models. (Psychological methods)
  3. Gibbs Sampling Methods for Stick-Breaking Priors
  4. Parameterization and Bayesian Modeling
  5. A Bayesian Semiparametric Model for Random-Effects Meta-Analysis
  6. A Bayesian Semiparametric Latent Variable Model for Mixed Responses
  7. A Bayesian analysis of finite mixtures in the LISREL model
  8. High cumulative incidence of uterine leiomyoma in black and white women: ultrasound evidence. (American Journal of Obstetrics and Gynecology)
  9. On the Criterion that a Given System of Deviations from the Probable in the Case of a Correlated System of Variables is Such that it Can be Reasonably Supposed to have Arisen from Random Sampling
  10. Mixtures of Dirichlet Processes with Applications to Bayesian Nonparametric Problems

Their papers