Zhi Geng

Statistics and Probability · 2008–2016

A researcher in the Science corpus: 7 papers; trusts 34 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 57 citations into it; #5,853 of 12,932 by trust here, #5,126 by citations
• Artificial Intelligence — 20 citations into it; #17,225 of 35,345 by trust here, #23,731 by citations
• Probabilistic & Bayesian Methods — 18 citations into it
• Causal Inference & Discovery — 16 citations into it; #197 of 364 by trust here, #277 by citations
• Economics and Econometrics — 11 citations into it
• Management Science and Operations Research — 6 citations into it

Whom Zhi Geng trusts overall

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

1. Donald B. Rubin
2. Tom L. Burr
3. Judea Pearl
4. Gregory F. Cooper
5. James J. Heckman
6. David E. Heckerman
7. Nir Friedman
8. Junni L. Zhang
9. L. A. Goodman
10. Thomas Verma

Who trusts Zhi Geng overall

1. Alain Hauser
2. Peter Buhlmann
3. Yixin Wang
4. Andrew Bennett
5. Ian R. Fasel
6. Chaochao Lu
7. Nathan Kallus
8. Zhichao Jiang
9. Wang Miao
10. Peng Ding

Papers from Zhi Geng's perspective

Ordered by how strongly the researchers Zhi Geng trusts endorse each paper. Same corpus, a different order for every researcher.

1. INFERENCE AND MISSING DATA
2. Causality : Models , Reasoning , and Inference
3. Probabilistic reasoning in intelligent systems: Networks of plausible inference
4. Equivalence and Synthesis of Causal Models
5. Causal diagrams for empirical research
6. Causation, Prediction, and Search
7. Sample selection bias as a specification error
8. Surrogate endpoints in clinical trials: definition and operational criteria.
9. Principal Stratification in Causal Inference
10. The Interpretation of Interaction in Contingency Tables

Their papers

• Identifying Causal Effects With Proxy Variables of an Unmeasured Confounder (2016) — 385 citations
• Identifiability and Estimation of Causal Effects by Principal Stratification With Outcomes Truncated by Death (2011) — 103 citations
• Principal causal effect identification and surrogate end point evaluation by multiple trials (2015) — 33 citations
• Causal Network Learning from Multiple Interventions of Unknown Manipulated Targets (2016) — 13 citations
• Identification and Doubly Robust Estimation of Data Missing Not at Random with an Ancillary Variable (2015) — 10 citations
• Identifiability of Normal and Normal Mixture Models with Nonignorable Missing Data (2015) — 122 citations
• Active Learning of Causal Networks with Intervention Experiments and Optimal Designs (2008) — 205 citations