M. Glymour
Statistics and Probability · with Jewell · 2016
A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 24 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 26 citations into it
- Artificial Intelligence — 12 citations into it
- Causal Inference & Discovery — 9 citations into it; #94 of 364 by trust here, #99 by citations
Whom M. Glymour trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts M. Glymour overall
- Silvia Chiappa
- Judea Pearl
- Hanwang Zhang
- Amir-Hossein Karimi
- Richard York
- Kaihua Tang
- Elias Bareinboim
- Susan Athey
- Junzhe Zhang
- Luca Oneto
Papers from M. Glymour's perspective
Ordered by how strongly the researchers M. Glymour trusts endorse each paper. Same corpus, a different order for every researcher.
- Statistics and Causal Inference
- [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
- Bounds on Treatment Effects from Studies with Imperfect Compliance
- Causal Inference from Complex Longitudinal Data
- Causality : Models , Reasoning , and Inference
- Estimating causal effects of treatments in randomized and nonrandomized studies.
- Causation, Prediction, and Search
- INFERENCE AND MISSING DATA
- The central role of the propensity score in observational studies for causal effects
- Observational Studies
Their papers
- Causal inference in statistics (2016) — 128 citations
- Causal Inference in Statistics: A Primer (2016) — 1,632 citations