T. Armstrong

Statistics and Probability · with Kolesar · 2011–2018

A researcher in the Science corpus: 5 papers; trusts 85 researchers and is trusted by 25 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 99 citations into it; #1,563 of 12,932 by trust here, #2,800 by citations
• Economics and Econometrics — 26 citations into it
• Artificial Intelligence — 20 citations into it
• Marketing — 13 citations into it
• Statistical Learning Theory — 11 citations into it
• Control and Systems Engineering — 10 citations into it
• Finance — 10 citations into it
• Management Science and Operations Research — 9 citations into it; #10,506 of 11,946 by trust here, #10,893 by citations

Whom T. Armstrong trusts overall

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

1. Donald W. K. Andrews
2. Charles F. Manski
3. Joseph P. Romano
4. Victor Chernozhukov
5. Elie Tamer
6. Guido W. Imbens
7. Alberto Abadie
8. Shakeeb Khan
9. C. Stone
10. A. Shaikh

Who trusts T. Armstrong overall

1. D. Chetverikov
2. David A. Hirshberg
3. Victor Chernozhukov
4. Federico A. Bugni
5. S. Lee
6. Stefan Wager
7. Michael J. Kolesar
8. K. Muralidharan
9. Sebastian Calonico
10. Donald W. K. Andrews

Papers from T. Armstrong's perspective

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

1. Inference on Regressions with Interval Data on a Regressor or Outcome
2. LARGE SAMPLE PROPERTIES OF GENERALIZED METHOD OF
3. Regression Shrinkage and Selection via the Lasso
4. Estimation and Confidence Regions for Parameter Sets in Econometric Models
5. Weak Convergence and Empirical Processes: With Applications to Statistics
6. Local polynomial modelling and its applications
7. Inference for identifiable parameters in partially identified econometric models
8. Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties
9. The central role of the propensity score in observational studies for causal effects
10. Asymptotic efficiency in estimation with conditional moment restrictions

Their papers

• Asymptotically exact inference in conditional moment inequality models (2011) — 65 citations
• Weighted KS Statistics for Inference on Conditional Moment Inequalities (2011) — 76 citations
• Optimal inference in a class of regression models (2015) — 148 citations
• Sensitivity analysis using approximate moment condition models (2018) — 68 citations
• Simple and honest confidence intervals in nonparametric regression (2016) — 104 citations