Jamie Robins

Statistics and Probability · 2017

A researcher in the Science corpus: 1 paper; trusts 26 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Jamie Robins trusts overall

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

  1. James M. Robins
  2. Whitney K. Newey
  3. Jinyong Hahn
  4. Béatrice Laurent
  5. Guido W. Imbens
  6. M. D. Cattaneo
  7. Andrea Rotnitzky
  8. Evarist Gin'e
  9. Victor Chernozhukov
  10. Alexandre Belloni

Who trusts Jamie Robins overall

  1. Victor Chernozhukov
  2. David A. Hirshberg
  3. Whitney K. Newey

Papers from Jamie Robins's perspective

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

  1. Double/debiased machine learning for treatment and structural parameters
  2. The asymptotic variance of semiparametric estimators
  3. On the Role of the Propensity Score in Efficient Semiparametric Estimation of Average Treatment Effects
  4. Efficient estimation of average treatment effects using the estimated propensity score
  5. Semiparametric Efficiency in Multivariate Regression Models with Missing Data
  6. Efficient Inference of Average Treatment Effects in High Dimensions via Approximate Residual Balancing
  7. Some new asymptotic theory for least squares series: Pointwise and uniform results
  8. ROOT-N-CONSISTENT SEMIPARAMETRIC REGRESSION
  9. Efficient estimation of integral functionals of a density
  10. Semiparametric Minimax Rates

Their papers