Manabu Kuroki

Statistics and Probability · 2003–2014

A researcher in the Science corpus: 4 papers; trusts 9 researchers and is trusted by 19 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 15 citations into it; #2,327 of 12,932 by trust here, #2,800 by citations
• Probabilistic & Bayesian Methods — 12 citations into it
• Causal Inference & Discovery — 8 citations into it; #123 of 364 by trust here, #234 by citations
• Artificial Intelligence — 7 citations into it; #16,971 of 35,345 by trust here, #26,682 by citations

Whom Manabu Kuroki trusts overall

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

1. Judea Pearl
2. Peter M. Bentler
3. Kenneth A. Bollen
4. Ilya Shpitser
5. Raymond J. Carroll
6. Donald B. Rubin
7. Sander Greenland
8. Yimin Huang
9. Tom L. Burr
10. David J. Bartholomew

Who trusts Manabu Kuroki overall

1. Judea Pearl
2. Andrew Bennett
3. Yixin Wang
4. Ioana Bica
5. Chaochao Lu
6. Leonard Henckel
7. Margaret E. Roberts
8. Nathan Kallus
9. Robin J. Evans
10. David M. Blei

Papers from Manabu Kuroki's perspective

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

1. Causality : Models , Reasoning , and Inference
2. Causation, Prediction, and Search
3. Causal diagrams for empirical research
4. Identifiability and Exchangeability for Direct and Indirect Effects
5. Direct and Indirect Causal Effects via Potential Outcomes *
6. Bounds on Treatment Effects from Studies with Imperfect Compliance
7. Direct and Indirect Effects
8. Identification of Joint Interventional Distributions in Recursive Semi-Markovian Causal Models
9. Probabilistic reasoning in intelligent systems - networks of plausible inference
10. Estimation of Direct Causal Effects (Epidemiology)

Their papers

• Bounds on Direct Effects in the Presence of Confounded Intermediate Variables (2008) — 111 citations
• On Identifying Total Effects in the Presence of Latent Variables and Selection bias (2008) — 48 citations
• Measurement bias and effect restoration in causal inference (2014) — 294 citations
• Covariate selection for estimating the causal effect of control plans by using causal diagrams (2003) — 48 citations