Tae Y. Yang

2004

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

Whom Tae Y. Yang trusts

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

  1. Paul Gustafson (in Artificial Intelligence)
  2. A. P. Dawid (in Evaluation & Benchmarks)

Who trusts Tae Y. Yang

  1. Michel Verleysen (in Artificial Intelligence)
  2. Benoît Frénay (in Artificial Intelligence)

Papers from Tae Y. Yang's perspective

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

  1. On Model Expansion, Model Contraction, Identifiability and Prior Information: Two Illustrative Scenarios Involving Mismeasured Variables
  2. Maximum Likelihood Estimation of Observer Error‐Rates Using the EM Algorithm
  3. Causality : Models , Reasoning , and Inference
  4. Conditional Independence in Statistical Theory
  5. Causal Inference from Complex Longitudinal Data
  6. Bounds on Treatment Effects from Studies with Imperfect Compliance
  7. INFERENCE AND MISSING DATA
  8. [On the Application of Probability Theory to Agricultural Experiments. Essay on Principles. Section 9.] Comment: Neyman (1923) and Causal Inference in Experiments and Observational Studies
  9. Principal Stratification in Causal Inference
  10. The central role of the propensity score in observational studies for causal effects

Their papers