Max Tabord‐Meehan

Statistics and Probability · 2018

A researcher in the Science corpus: 1 paper; trusts 26 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 16 citations into it
• Artificial Intelligence — 8 citations into it
• Management Science and Operations Research — 7 citations into it
• Causal Inference & Discovery — 5 citations into it
• Economics and Econometrics — 5 citations into it

Whom Max Tabord‐Meehan trusts overall

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

1. Jinyong Hahn
2. M. D. Cattaneo
3. Susan Athey
4. Sylvain Arlot
5. Joseph A. Cima
6. Rabi N. Bhattacharya
7. Guido W. Imbens
8. Federico A. Bugni
9. Thomas Grubinger
10. Charles F. Manski

Papers from Max Tabord‐Meehan's perspective

Ordered by how strongly the researchers Max Tabord‐Meehan trusts endorse each paper. Same corpus, a different order for every researcher.

1. Recursive partitioning for heterogeneous causal effects
2. On the Role of the Propensity Score in Efficient Semiparametric Estimation of Average Treatment Effects
3. Estimating causal effects of treatments in randomized and nonrandomized studies.
4. Regression Shrinkage and Selection via the Lasso
5. Identification for Prediction and Decision
6. ImageNet classification with deep convolutional neural networks
7. The asymptotic variance of semiparametric estimators
8. The Nature of Statistical Learning Theory
9. Efficient estimation of average treatment effects using the estimated propensity score
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

• Stratification Trees for Adaptive Randomization in Randomized Controlled Trials (2018) — 55 citations