Martin Huber

Statistics and Probability · 2012–2018

A researcher in the Science corpus: 9 papers; trusts 104 researchers and is trusted by 24 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 197 citations into it; #2,076 of 12,932 by trust here, #2,919 by citations
• Economics and Econometrics — 91 citations into it; #15,835 of 23,481 by trust here, #14,051 by citations
• Causal Inference & Discovery — 38 citations into it
• Management Science and Operations Research — 17 citations into it
• Gender Studies — 16 citations into it
• Sociology and Political Science — 16 citations into it
• Education — 15 citations into it
• Artificial Intelligence — 13 citations into it

Whom Martin Huber trusts overall

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

1. Donald B. Rubin
2. M. Lechner
3. Guido W. Imbens
4. Alberto Abadie
5. Bernard Walter Silverman
6. Jeffrey M. Wooldridge
7. Kosuke Imai
8. Markus Frölich
9. Paul R. Rosenbaum
10. Joshua D. Angrist

Who trusts Martin Huber overall

1. M. Lechner
2. Markus Frölich
3. Stefan Tubbicke
4. Solmaria Halleck Vega
5. Achyuta R. Adhvaryu
6. Esfandiar Maasoumi
7. Michael Zimmert
8. Viviana Celli
9. Hugo Bodory
10. James Fenske

Papers from Martin Huber's perspective

Ordered by how strongly the researchers Martin Huber 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. Estimating causal effects of treatments in randomized and nonrandomized studies.
3. Statistics and Causal Inference
4. [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
5. On the Role of the Propensity Score in Efficient Semiparametric Estimation of Average Treatment Effects
6. Estimation of Regression Coefficients When Some Regressors are not Always Observed
7. Bounds on Treatment Effects from Studies with Imperfect Compliance
8. Efficient estimation of average treatment effects using the estimated propensity score
9. Identification of Causal effects Using Instrumental Variables
10. LARGE SAMPLE PROPERTIES OF GENERALIZED METHOD OF

Their papers

• Including Covariates in the Regression Discontinuity Design (2018) — 62 citations
• The performance of estimators based on the propensity score (2013) — 330 citations
• IDENTIFYING CAUSAL MECHANISMS (PRIMARILY) BASED ON INVERSE PROBABILITY WEIGHTING (2014) — 162 citations
• Testing Instrument Validity for LATE Identification Based on Inequality Moment Constraints (2015) — 128 citations
• Direct and indirect treatment effects–causal chains and mediation analysis with instrumental variables (2014) — 123 citations
• The Finite Sample Performance of Inference Methods for Propensity Score Matching and Weighting Estimators (2018) — 59 citations
• Testing exclusion restrictions and additive separability in sample selection models (2014) — 53 citations
• Radius matching on the propensity score with bias adjustment: tuning parameters and finite sample behaviour (2014) — 103 citations
• A Test of the Conditional Independence Assumption in Sample Selection Models: A TEST OF THE CONDITIONAL INDEPENDENCE ASSUMPTION (2012) — 78 citations