R. Shanmugam
Statistics and Probability · 2004–2019
A researcher in the Science corpus: 5 papers; trusts 17 researchers and is trusted by 35 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 12 citations into it; #9,141 of 12,932 by trust here, #8,279 by citations
- Causal Inference & Discovery — 8 citations into it; #64 of 364 by trust here, #133 by citations
- Economics and Econometrics — 6 citations into it
Whom R. Shanmugam trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Herbert A. Simon
- Donald B. Rubin
- Charles F. Manski
- Stephen F. LeRoy
- Raghabendra Chattopadhyay
- S. Dale
- Peter M. Bentler
- Joshua D. Angrist
- Guido W. Imbens
- Paul Holland
Who trusts R. Shanmugam overall
- Peng Ding
- Fang Liu
- Ayman Baklizi
- Emre Kıcıman
- David Wuepper
- Sebastian Calonico
- Noah Hollmann
- Fan Li
- Koustuv Saha
- Demosthenes Panagiotakos
Papers from R. Shanmugam's perspective
Ordered by how strongly the researchers R. Shanmugam trusts endorse each paper. Same corpus, a different order for every researcher.
- [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
- Statistics and Causal Inference
- Causality : Models , Reasoning , and Inference
- Estimating causal effects of treatments in randomized and nonrandomized studies.
- Causal Inference without Counterfactuals
- On the Application of Probability Theory to Agricultural Experiments. Essay on Principles. Section 9
- Lifetime Earnings and the Vietnam Era Draft Lottery: Evidence from Social Security Administrative Records
- Causal Ordering and Identifiability
- The Statistical Implications of a System of Simultaneous Equations
- Bounds on Treatment Effects from Studies with Imperfect Compliance
Their papers
- Causal inference (2011) — 1,948 citations
- The Stress-Strength Model and Its Generalizations: Theory and Applications (2004) — 302 citations
- Introduction to engineering statistics and lean six sigma: statistical quality control and design of experiments and systems (2019) — 52 citations
- Measuring research: what everyone needs to know (2018) — 141 citations
- Skewness and Kurtosis (2016) — 85 citations