Alan E. Hubbard

Statistics and Probability · Epidemiology · 2000–2018

A researcher in the Science corpus: 6 papers; trusts 5 researchers and is trusted by 19 researchers here, as inferred from the citation graph.

Subfields

Whom Alan E. Hubbard trusts overall

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

  1. James M. Robins
  2. J. Michael Oakes
  3. Thomas Mikosch
  4. Yaacov Ritov
  5. Donald B. Rubin
  6. M. J. van der Laan
  7. A. van der Vaart
  8. Paul R. Rosenbaum
  9. Jerome H. Friedman

Who trusts Alan E. Hubbard overall

  1. Francis L. Huang
  2. M. J. van der Laan
  3. Aaron Fisher
  4. Susan Athey
  5. Ashley I. Naimi
  6. Cynthia Rudin
  7. Iv'an D'iaz
  8. Stefan Wager
  9. Peter Bhlmann
  10. Xinkun Nie

Papers from Alan E. Hubbard's perspective

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

  1. The central role of the propensity score in observational studies for causal effects
  2. Toward a curse of dimensionality appropriate (CODA) asymptotic theory for semi-parametric models.
  3. Weak Convergence and Empirical Processes: With Applications to Statistics
  4. The (mis)estimation of neighborhood effects: causal inference for a practicable social epidemiology. (Social Science & Medicine (1967))
  5. Regression Shrinkage and Selection via the Lasso
  6. INFERENCE AND MISSING DATA
  7. Regularization Paths for Generalized Linear Models via Coordinate Descent
  8. Observational Studies
  9. On asymptotically optimal confidence regions and tests for high-dimensional models
  10. [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

Their papers