Robin J. Evans
Statistics and Probability · 2012–2015
A researcher in the Science corpus: 5 papers; trusts 45 researchers and is trusted by 8 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 36 citations into it; #5,403 of 12,932 by trust here, #7,165 by citations
- Artificial Intelligence — 25 citations into it; #13,865 of 35,345 by trust here, #26,682 by citations
- Causal Inference & Discovery — 17 citations into it
- Probabilistic & Bayesian Methods — 13 citations into it
- Economics and Econometrics — 5 citations into it
- Signal Processing — 5 citations into it
Whom Robin J. Evans trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Judea Pearl
- Roland R. Ramsahai
- Thomas S. Richardson
- Alexander Balke
- Thomas Verma
- James M. Robins
- Donald B. Rubin
- A. P. Dawid
- Ilya Shpitser
- Charles F. Manski
Who trusts Robin J. Evans overall
- Ricardo M. A. Silva
- Stephan Bongers
- Jan Peters
- Patrick Forr'e
- Mathias Drton
- Joris M. Mooij
- Thomas S. Richardson
Papers from Robin J. Evans's perspective
Ordered by how strongly the researchers Robin J. Evans trusts endorse each paper. Same corpus, a different order for every researcher.
- Causality : Models , Reasoning , and Inference
- Estimating causal effects of treatments in randomized and nonrandomized studies.
- Equivalence and Synthesis of Causal Models
- Causation, Prediction, and Search
- Bounds on Treatment Effects from Studies with Imperfect Compliance
- Causation
- Direct and Indirect Causal Effects via Potential Outcomes *
- Causal networks: semantics and expressiveness
- On the Testable Implications of Causal Models with Hidden Variables
- Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
Their papers
- Margins of discrete Bayesian networks (2015) — 76 citations
- Transparent Parametrizations of Models for Potential Outcomes (2012) — 58 citations
- Causal Inference through a Witness Protection Program (2014) — 21 citations
- Graphical methods for inequality constraints in marginalized DAGs (2012) — 44 citations
- Parameter and Structure Learning in Nested Markov Models (2012) — 26 citations