Linda H Yau

Statistics and Probability · 2001

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Linda H Yau trusts overall

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

  1. Donald B. Rubin
  2. Guido W. Imbens
  3. Howard S. Bloom
  4. Andrew Gelman
  5. Arthur P. Dempster
  6. James M. Robins
  7. Joshua D. Angrist
  8. Nan M. Laird
  9. Paul R. Rosenbaum
  10. Alexander Balke

Who trusts Linda H Yau overall

  1. Zhiqiang Tan
  2. Michael J. Kolesar
  3. Stephen Burgess
  4. Dylan S. Small
  5. S. Thompson

Papers from Linda H Yau's perspective

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

  1. INFERENCE AND MISSING DATA
  2. Bounds on Treatment Effects from Studies with Imperfect Compliance
  3. Inference from Iterative Simulation Using Multiple Sequences
  4. Accounting for No-Shows in Experimental Evaluation Designs
  5. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
  6. Statistics and Causal Inference
  7. [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
  8. Estimating Outcome Distributions for Compliers in Instrumental Variables Models
  9. Bayesian Inference for Causal Effects: The Role of Randomization
  10. The central role of the propensity score in observational studies for causal effects

Their papers