H. Kern

Statistics and Probability · 2009–2012

A researcher in the Science corpus: 3 papers; trusts 21 researchers and is trusted by 28 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 25 citations into it; #2,503 of 12,932 by trust here, #2,800 by citations
• Sociology and Political Science — 20 citations into it
• Political Science and International Relations — 13 citations into it
• Causal Inference & Discovery — 10 citations into it; #140 of 364 by trust here, #295 by citations
• Artificial Intelligence — 9 citations into it
• Gender Studies — 8 citations into it
• Probabilistic & Bayesian Methods — 6 citations into it; #748 of 1,525 by trust here, #1,198 by citations
• Statistical Learning Theory — 5 citations into it

Whom H. Kern trusts overall

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

1. Donald B. Rubin
2. Paul Holland
3. Alan J. Izenman
4. Eric R. Ziegel
5. D. R. Cox
6. Niko Speybroeck
7. K. Smith‐Miles
8. Yoav Freund
9. P. Henry
10. Heather E. Bullock

Who trusts H. Kern overall

1. Susan Athey
2. Guido W. Imbens
3. A. Coppock
4. Kosuke Imai
5. Stefan Wager
6. Irina Degtiar
7. A. Guess
8. Amina Adadi
9. Hossein Soleimani
10. J. Montgomery

Papers from H. Kern's perspective

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

1. Estimating causal effects of treatments in randomized and nonrandomized studies.
2. Statistics and Causal Inference
3. Making the Most out of Programme Evaluations and Social Experiments: Accounting for Heterogeneity in Programme Impacts
4. The Elements of Statistical Learning
5. Bayesian Inference for Causal Effects: The Role of Randomization
6. A decision-theoretic generalization of on-line learning and an application to boosting
7. Random Forests
8. Statistical Learning from a Regression Perspective
9. A note on data-splitting for the evaluation of significance levels
10. Classification and regression trees

Their papers

• Modeling Heterogeneous Treatment Effects in Survey Experiments with Bayesian Additive Regression Trees (2012) — 312 citations
• Testing the Accuracy of Regression Discontinuity Analysis Using Experimental Benchmarks (2009) — 114 citations
• Modeling heterogeneous treatment effects in large-scale experiments using Bayesian Additive Regression Trees (2010)